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1.
Digit Health ; 8: 20552076221133764, 2022.
Article in English | MEDLINE | ID: covidwho-2098278

ABSTRACT

Background: COVID-19 pandemic is reported to exacerbate existing vulnerabilities of marginalized groups, and the lack of self-care can lead to the spread of the virus across society. Therefore, effective responses to the challenges imposed by the health crisis should consider the health information needs of migrant workers. Objective: We aimed to explore how migrant low-income workers seek health information and how their health-related information needs were met during a health crisis. We also investigated migrant workers' preferred information sources and types of content with the theoretical concept of health literacy to understand the development of health competencies among migrant workers. Methods: We conducted semi-structured interviews with Thai low-income migrant workers. A total of 13 Thai migrant workers participated in the study, among whom five were undocumented. The interviews were audio-taped, transcribed, and analyzed with the thematic analysis approach. Results: Our findings indicated that migrant workers' health literacy and health information behavior could be improved through technology when facing a health crisis. We found that participants sought health information proactively to reduce their perceived risks. However, there is still space for design to support the ability to process jargon information and apply local policy, such as providing easy-to-understand, accurate, and timely information. The findings of this study provide some insights for the authority and technological design to respond to migrant workers' health information needs. Conclusions: This study acknowledges and understands the needs of vulnerable migrant workers in society. The findings of this study provide insights for the authority and technological design to respond to migrant workers' health information needs. We also outline the areas worth further investigation, such as the communication between information seekers and providers, and the navigation of the healthcare system for migrants in the host country.

3.
Non-conventional in English | WHOIRIS, Grey literature | ID: grc-754692
5.
Diagnostica ; 68(4):219-230, 2022.
Article in English | Scopus | ID: covidwho-2076987

ABSTRACT

The health literacy (HL) facet Access to health information is measured in the European Health Literacy Survey (HLS-EU-Q47) by 12 items. To assess Access, we developed adapted item formulations for COVID-19 infection prevention (COVID-19-IP) and early childhood allergy prevention (ECAP) in addition to the original 12 items on General Health (GH). N = 343 (expectant) mothers of infants answered the items in an online assessment. Confirmatory structural analyses for ordinal data were adopted (WLSMV-algorithm). Women s item ratings varied significantly across domains (η2 = .017 .552). Bi-factor models exhibited the best data fit(GH/COVID-19-IP /ECAP: CFI = .964 / .968 / .977;SRMR: .062 / .069 / .035): The general factor Access most strongly determined item information. Additionally, three subfactors contributed significantly (but rather weakly) to the item information in each domain. The overall score Access proved to be internally consistent (McDonald s GH/COVID-19-IP/ECAP = 874/ 883 / 897) and was associated with socioeconomic state (McArthur scale;rGH/COVID- 19-IP/ECAP = .218 / .210 / .146). Access correlated not or only weakly with the other HL facets Understand, Appraise, and Apply. The health domains GH, COVID-19-IP, and ECAP moderated both the difficulty and the dimensional structure of the 12 Access items. This suggests that in the HLS-EU Access reflects not only the search competence but also the availability of health information. © 2022 The Author(s). Distributed as a Hogrefe OpenMind.

6.
IEEE Transactions on Computational Social Systems ; : 1-18, 2022.
Article in English | Web of Science | ID: covidwho-2070467

ABSTRACT

Since 2020, the COVID-19 pandemic severely disrupted regular off-line business activities. This unprecedented situation inspires the valuable research on facilitating off-line business under pandemics. In this article, we conceptualized the problem as travel management in pandemic (TMiP) and analyzed it from the technological perspective. Enabling travel in a pandemic not only needs a health certificate to prove that the traveler is safe but also entry/exit permissions from both the origin and the destination regions, determined by the local situation and measures. Thus, TMiP is related to technical, social, economic, and administrative factors. By conducting a review on the literature covering the health certificate technology, its adoption in practice, and the exchange system technology published during the COVID-19 pandemic, we learned about their usefulness and limitations in TMiP. Second, we analyzed the review outcomes to infer the six distinctive technical challenges of TMiP. Third, we analyzed the feasibility of referential solutions to these challenges and showed their applicability and limitations. Finally, we offered the perspectives on new TMiP solutions and concluded that they rely on adapting existing solutions, creating new ones, and integrating all of them. We also presented future research directions in a holistic view of TMiP technical solutions. Overall, the findings of the study will stimulate more research on a more coordinated, comprehensive, and intelligent TMiP solution. We also hope this article can help practitioners to restart economies in a pandemic.

7.
Int J Environ Res Public Health ; 19(19)2022 Oct 01.
Article in English | MEDLINE | ID: covidwho-2066001

ABSTRACT

Migrant domestic workers (MDWs) in Hong Kong remain vulnerable during the COVID-19 pandemic. Obtaining accurate information is essential for MDWs as it helps them understand their predicament and protect themselves. Therefore, this study delves into the MDWs' health literacy by scrutinizing how they acquire, verify, and respond to pandemic-related information. Semi-structured interviews were conducted with 32 Indonesian MDWs, recruited through purposive and snowball sampling. The data were examined using a constant comparative approach in grounded theory. The findings reveal that the participants engaged in information seeking and scanning to obtain health crisis information, mainly through their friends, family members, and community organizations. The participants also verified the information using their judgment or by consulting other actors, such as local organizations and media outlets. The messages they obtained informed the means to protect themselves, which motivated them to adopt preventive measures. However, some also engaged in maladaptive coping, such as taking ineffective preventive actions. The participants also disseminated health crisis information throughout their social circle. This study concluded that MDWs performed four health information behaviors during the pandemic, namely information acquisition, authentication, sharing, and adoption of preventive measures. However, their information practices may change at different stages of the pandemic.


Subject(s)
COVID-19 , Health Literacy , Transients and Migrants , COVID-19/epidemiology , Health Behavior , Humans , Pandemics/prevention & control
8.
JMIR Hum Factors ; 9(4): e39102, 2022 Oct 11.
Article in English | MEDLINE | ID: covidwho-2065319

ABSTRACT

BACKGROUND: Access to accurate information in health care is a key point for caregivers to avoid medication errors, especially with the reorganization of staff and drug circuits during health crises such as the COVID­19 pandemic. It is, therefore, the role of the hospital pharmacy to answer caregivers' questions. Some may require the expertise of a pharmacist, some should be answered by pharmacy technicians, but others are simple and redundant, and automated responses may be provided. OBJECTIVE: We aimed at developing and implementing a chatbot to answer questions from hospital caregivers about drugs and pharmacy organization 24 hours a day and to evaluate this tool. METHODS: The ADDIE (Analysis, Design, Development, Implementation, and Evaluation) model was used by a multiprofessional team composed of 3 hospital pharmacists, 2 members of the Innovation and Transformation Department, and the IT service provider. Based on an analysis of the caregivers' needs about drugs and pharmacy organization, we designed and developed a chatbot. The tool was then evaluated before its implementation into the hospital intranet. Its relevance and conversations with testers were monitored via the IT provider's back office. RESULTS: Needs analysis with 5 hospital pharmacists and 33 caregivers from 5 health services allowed us to identify 7 themes about drugs and pharmacy organization (such as opening hours and specific prescriptions). After a year of chatbot design and development, the test version obtained good evaluation scores: its speed was rated 8.2 out of 10, usability 8.1 out of 10, and appearance 7.5 out of 10. Testers were generally satisfied (70%) and were hoping for the content to be enhanced. CONCLUSIONS: The chatbot seems to be a relevant tool for hospital caregivers, helping them obtain reliable and verified information they need on drugs and pharmacy organization. In the context of significant mobility of nursing staff during the health crisis due to the COVID-19 pandemic, the chatbot could be a suitable tool for transmitting relevant information related to drug circuits or specific procedures. To our knowledge, this is the first time that such a tool has been designed for caregivers. Its development further continued by means of tests conducted with other users such as pharmacy technicians and via the integration of additional data before the implementation on the 2 hospital sites.

9.
J Med Internet Res ; 24(9): e37846, 2022 09 30.
Article in English | MEDLINE | ID: covidwho-2065308

ABSTRACT

BACKGROUND: Preventative health measures such as shelter in place and mask wearing have been widely encouraged to curb the spread of the COVID-19 disease. People's attitudes toward preventative behaviors may be dependent on their sources of information and trust in the information. OBJECTIVE: The aim of this study was to understand the relationship between trusting in COVID-19 information and preventative behaviors in a racially and politically diverse metropolitan area in the United States. METHODS: We conducted a web-based cross-sectional survey of residents in St. Louis City and County in Missouri. Individuals aged ≥18 years were eligible to participate. Participants were recruited using a convenience sampling approach through social media and email. The Health Belief Model and the Socioecological Model informed instrument development, as well as COVID-19-related questions from the Centers for Disease Control and Prevention. We performed an ordinary least squares linear regression model to estimate social distancing practices, perceptions, and trust in COVID-19 information sources. RESULTS: Of the 1650 eligible participants, the majority (n=1381, 83.7%) had sought or received COVID-19-related information from a public health agency, the Centers for Disease Control and Prevention, or both. Regression analysis showed a 1% increase in preventative behaviors for every 12% increase in trust in governmental health agencies. At their lowest levels of trust, women were 68% more likely to engage in preventative behaviors than men. Overall, those aged 18-45 years without vulnerable medical conditions were the least likely to engage in preventative behaviors. CONCLUSIONS: Trust in COVID-19 information increases an individual's likelihood of practicing preventative behaviors. Effective health communication strategies should be used to effectively disseminate health information during disease outbreaks.


Subject(s)
COVID-19 , Adolescent , Adult , COVID-19/epidemiology , COVID-19/prevention & control , Cross-Sectional Studies , Female , Humans , Information Seeking Behavior , Male , Public Health , Surveys and Questionnaires , Trust , United States/epidemiology
10.
JMIR Hum Factors ; 9(4): e37693, 2022 Oct 13.
Article in English | MEDLINE | ID: covidwho-2065307

ABSTRACT

BACKGROUND: In 2019, COVID-19 spread worldwide, causing a pandemic that has posed unprecedented challenges and pressure for health systems and economies. Food delivery services have become an important medium for consumer food purchases to limit human-to-human contact. Thus, delivery drivers are at high risk of exposure to COVID-19 infection at work. To the best of our knowledge, no studies have analyzed the dimensions of health literacy (HL) regarding COVID-19 prevention in this population. OBJECTIVE: This study aims to explore the HL status toward COVID-19 prevention and its associated factors among food delivery drivers in southern Thailand. METHODS: Following a cross-sectional survey from July to August 2021, Thai food delivery drivers in the upper-south and lower-south regions of southern Thailand were recruited to participate during the compulsory COVID-19 lockdown. An online structured questionnaire was administered verbally and recorded by the interviewer. Univariate and multivariate linear regressions were used to explore independently associated factors. RESULTS: Of 401 drivers, 291 (72.6%) were men. The median age was 31 years (range 19-64 years). The median number of months working as a driver was 12 months, and the median number of working hours was 9 hours per day. The median number of daily food orders was 20, while the median daily income was Thai baht (THB) 600 (US $15.90). Social media (Facebook and Line) was a common source of health information. The most common information required was about the COVID-19 vaccine, medications, and treatment. Most drivers (285/401, 71.1%) had excellent HL levels regarding COVID-19 prevention. Only the practical application of information was statistically correlated with behavior (r=0.38, P<.001). Drivers in the lower south of Thailand were more likely to have excellent HL than other drivers (ß=7.03, P<.001). Those who frequently accessed information through YouTube (ß=-2.17, P=.01) and relatives (ß=-4.19, P<.001) were less likely to have excellent HL levels. CONCLUSIONS: Understanding HL among food delivery drivers would be useful for planning effective interventions that target this population. Conventional health education through social media alone may not be effective at educating people about COVID-19 prevention. Information literacy skills could determine individuals' HL and drivers' behaviors.

11.
J Med Internet Res ; 24(10): e37258, 2022 10 31.
Article in English | MEDLINE | ID: covidwho-2065305

ABSTRACT

BACKGROUND: Sexually transmitted diseases (STDs) are common and costly, impacting approximately 1 in 5 people annually. Reddit, the sixth most used internet site in the world, is a user-generated social media discussion platform that may be useful in monitoring discussion about STD symptoms and exposure. OBJECTIVE: This study sought to define and identify patterns and insights into STD-related discussions on Reddit over the course of the COVID-19 pandemic. METHODS: We extracted posts from Reddit from March 2019 through July 2021. We used a topic modeling method, Latent Dirichlet Allocation, to identify the most common topics discussed in the Reddit posts. We then used word clouds, qualitative topic labeling, and spline regression to characterize the content and distribution of the topics observed. RESULTS: Our extraction resulted in 24,311 total posts. Latent Dirichlet Allocation topic modeling showed that with 8 topics for each time period, we achieved high coherence values (pre-COVID-19=0.41, prevaccination=0.42, and postvaccination=0.44). Although most topic categories remained the same over time, the relative proportion of topics changed and new topics emerged. Spline regression revealed that some key terms had variability in the percentage of posts that coincided with pre-COVID-19 and post-COVID-19 periods, whereas others were uniform across the study periods. CONCLUSIONS: Our study's use of Reddit is a novel way to gain insights into STD symptoms experienced, potential exposures, testing decisions, common questions, and behavior patterns (eg, during lockdown periods). For example, reduction in STD screening may result in observed negative health outcomes due to missed cases, which also impacts onward transmission. As Reddit use is anonymous, users may discuss sensitive topics with greater detail and more freely than in clinical encounters. Data from anonymous Reddit posts may be leveraged to enhance the understanding of the distribution of disease and need for targeted outreach or screening programs. This study provides evidence in favor of establishing Reddit as having feasibility and utility to enhance the understanding of sexual behaviors, STD experiences, and needed health engagement with the public.


Subject(s)
COVID-19 , Sexually Transmitted Diseases , Social Media , Humans , COVID-19/epidemiology , Pandemics , Communicable Disease Control , Sexually Transmitted Diseases/epidemiology
12.
Health Policy Plan ; 37(9): 1075-1085, 2022 Oct 12.
Article in English | MEDLINE | ID: covidwho-2062898

ABSTRACT

Epidemiological surveillance and notification of respiratory infections are important for management and control of epidemics and pandemics. Fact-based decisions, like social distancing policies and preparation of hospital beds, are taken based on several factors, including case numbers; hence, health authorities need quick access to reliable and well-analysed data. We aimed to analyse the role of the Brazilian public health system in the notification and hospitalization of patients with severe acute respiratory infection (SARI). Data of SARI cases in Brazil (2013-20) were obtained from SIVEP-Gripe platform, and legal status of each healthcare unit (HCU) responsible for case notification and hospitalization was obtained from the National Registry of Health Facilities (CNES) database. HCUs that are part of the hospital network were classified as 'Public Administration', 'Business Entities', 'Philanthropic Entities' or 'Individuals'. SARI notification data from Brazilian macro-regions (North, Northeast, Midwest, Southeast and South) were analysed and compared between administrative spheres. This study reveals that hospitalizations due to SARI increased significantly in Brazil during the coronavirus disease 2019 (COVID-19) pandemic, especially in HCUs of Public Administration. In the Southeast and South, where incidence of SARI is high, philanthropic HCUs also contribute to hospitalization of SARI cases and attend up to 7.4% of the cases notified by the Public Administration. The number of cases is usually lower in other regions, but in 2020 the Northeast showed more hospitalizations than the South. In the South, SARI season occurs later; however, in 2020, an early peak was observed because of COVID-19. Notably, the contribution of each administrative sphere that manages hospital networks in Brazil in the control and management of SARI varies between regions. Our approach will allow managers to assess the use of public resources, given that there are different profiles of healthcare in each region of Brazil and that the public health system has a major role in notifying and attending SARI cases.


Subject(s)
COVID-19 , Fund Raising , Influenza, Human , Respiratory Tract Infections , Brazil/epidemiology , COVID-19/epidemiology , Delivery of Health Care , Health Facilities , Hospitalization , Humans , Influenza, Human/epidemiology , Pandemics , Respiratory Tract Infections/epidemiology
13.
Journal of Integrated Care ; 30(4):363-372, 2022.
Article in English | ProQuest Central | ID: covidwho-2063200

ABSTRACT

Purpose>The COVID-19 pandemic has demonstrated the urgency of better chronic disease management and the importance of making it an integral part of the recovery agenda in Europe. This paper aims to explore the shift towards digital and integrated care systems in Europe.Design/methodology/approach>In this viewpoint paper the Expert Group for Integrated Care and Digital Health Europe (EGIDE) group argues that an orchestrated shift towards integrated care holds the solution to the chronic disease pandemic.Findings>The development of integrated care cannot happen without shifting towards a digitalised healthcare system via large-scale initiatives like the European Health Data Space (EHDS) and the involvement of all stakeholders.Originality/value>The EGIDE group has identified some foundational principles, which can guide the way to realise the full potential of the EHDS for integrated care and can support the involved stakeholders’ thinking.

14.
Journal of Integrated Care ; 30(4):324-334, 2022.
Article in English | ProQuest Central | ID: covidwho-2063194

ABSTRACT

Purpose>Digital health care has emerged as one of the most important means to deliver integrated care by care providers in recent years. As the use of digital health increases, there are some pressing issues such as interoperability of data across different healthcare information systems, regulatory environment and security and privacy of patient’s information which need to be discussed and addressed in order to reduce information silos and to ensure efficient and seamless use of digital health technologies. The purpose of this paper is to address these issues.Design/methodology/approach>In this paper the authors outline the key concepts of interoperability, key challenges pertaining in achieving interoperability and concepts of security and privacy in context of digital health models of integrated care.Findings>The study suggests that standardization of digital health information systems and connecting existing systems to health network, addressing privacy and security related issues through a comprehensive but supportive regulatory environment and educating citizens and healthcare providers are some of the ways to achieve effective use of digital health in models of integrated care.Originality/value>Although the concepts of privacy and interoperability are not new, however, as per best of the authors’ knowledge, this is the first attempt to discuss the challenges and possible actions to meet the objective of achieving integrated care through digital innovation.

15.
Gac Sanit ; 37: 102265, 2022 Oct 11.
Article in English | MEDLINE | ID: covidwho-2061185

ABSTRACT

OBJECTIVE: To identify the driving and inhibiting factors and to find a prototype of community involvement in the COVID-19 vaccine. METHOD: Data sources from PubMed database, Google Scholar, Web of Science, and ProQuest. The data were obtained based on searches using the keyword COVID-19 (n=11,.599), focusing on community acceptance (n=813), community involvement (n=86), and types of articles (n=46). Articles that meet the inclusion criteria are seven, and the data were analyzed with ATLAS Ti.9 software. RESULTS: Engagement and driving factors have the highest correlation (0.38). The drivers, perceptions of vulnerability, and inhibiting factors determine community involvement. The perception of exposure can be a supporting or inhibiting factor influenced by information reinforcement. CONCLUSIONS: Strengthening positive information can alter the sense of community vulnerability, making it a driving force for participation in the COVID-19 vaccine campaign. This finding is an appropriate strategy to expand the reach and resolve public doubts about accepting the vaccine.

16.
J Med Internet Res ; 24(9): e37337, 2022 09 08.
Article in English | MEDLINE | ID: covidwho-2054758

ABSTRACT

BACKGROUND: Health-related misinformation can be propagated via social media and is a threat to public health. Several quality assessment tools and principles to evaluate health-related information in the public domain exist; however, these were not designed specifically for social media. OBJECTIVE: This study aims to develop Principles for Health-related Information on Social Media (PRHISM), which can be used to evaluate the quality of health-related social media content. METHODS: A modified Delphi approach was used to obtain expert consensus on the principles and functions of PRHISM. Health and social media experts were recruited via Twitter, email, and snowballing. A total of 3 surveys were administered between February 2021 and May 2021. The first survey was informed by a literature review and included open-ended questions and items from existing quality assessment tools. Subsequent surveys were informed by the results of the proceeding survey. Consensus was deemed if ≥80% agreement was reached, and items with consensus were considered relevant to include in PRHISM. After the third survey, principles were finalized, and an instruction manual and scoring tool for PRHISM were developed and circulated to expert participants for final feedback. RESULTS: A total of 34 experts consented to participate, of whom 18 (53%) responded to all 3 Delphi surveys. In total, 13 principles were considered relevant and were included in PRHISM. When the instructions and PRHISM scoring tool were circulated, no objections to the wording of the final principles were received. CONCLUSIONS: A total of 13 quality principles were included in the PRHISM tool, along with a scoring system and implementation tool. The principles promote accessibility, transparency, provision of authoritative and evidence-based information and support for consumers' relationships with health care providers. PRHISM can be used to evaluate the quality of health-related information provided on social media. These principles may also be useful to content creators for developing high-quality health-related social media content and assist consumers in discerning high- and low-quality information.


Subject(s)
Social Media , Consensus , Delphi Technique , Health Personnel , Humans , Surveys and Questionnaires
17.
JMIR Rehabil Assist Technol ; 9(3): e38489, 2022 Sep 20.
Article in English | MEDLINE | ID: covidwho-2054782

ABSTRACT

BACKGROUND: The spread of COVID-19 has affected stroke rehabilitation. Given that inpatient visits are restricted in most institutions, alternative ways of providing information to family members are imperative. Informing families about patients' rehabilitation progress via the web may help involve families in the rehabilitation process, enhance patients' motivation to continue rehabilitation, and contribute overall to patients' improvement in activities of daily living (ADL). OBJECTIVE: We aimed to investigate the feasibility of the Internet-Based Rehabilitation Information Sharing (IRIS) intervention for families of patients with stroke at a rehabilitation hospital and examine the effect of IRIS on patients' ADL improvement. METHODS: In this case-control study, participants were inpatients at a rehabilitation hospital between March 2020 and April 2021. The intervention group (information and communication technology [ICT] group) included patients and families who requested IRIS, which consisted of a progress report on patients' rehabilitation using text, photos, and videos. Those who did not receive internet-based information were included in the non-ICT group. The control group, matched with the ICT group based on a 1:1 propensity score, was selected from the non-ICT group. The covariates for calculating the propensity score were patients' age, sex, and motor and cognitive scores on the Functional Independence Measure at admission. The main outcome was the degree of ADL improvement during hospitalization. Multiple regression analysis (forced entry method) was performed to confirm the impact of ICT use on ADL improvement. The independent variables were the presence of intervention, length of hospital stay, and number of days from onset to hospitalization. RESULTS: In total, 16 groups of patients and families participated in the IRIS. The mean age of patients was 78.6 (SD 7.2) and 78.6 (SD 8.2) years in the ICT and control groups, respectively. The median total Functional Independence Measure difference was 28.5 (IQR 20.3-53.0) and 11.0 (IQR 2.8-30.0) in the ICT and control groups, respectively, and the ICT group showed significant improvement in ADL function (P=.02). In the multiple regression analysis of the ICT and control groups, the unstandardized regression coefficient was 11.97 (95% CI 0.09-23.84) for ICT use. These results indicate that ICT use was independently and significantly associated with improvement in ADL. CONCLUSIONS: This study examined the effect of IRIS on family members to improve ADL in patients with stroke who are hospitalized. The results showed that IRIS promotes the improvement of patients' ADL regardless of age, sex, motor and cognitive functions at admission, and the length of hospital stay.

18.
J Am Med Inform Assoc ; 29(12): 2201-2205, 2022 Nov 14.
Article in English | MEDLINE | ID: covidwho-2051470

ABSTRACT

The foundational role of health information exchanges (HIEs) is to facilitate communication between clinical partners in real time. Once this infrastructure for the secure and immediate flow of patient information is built, however, HIEs can benefit community public health and clinical care in myriad other ways that are in line with their mission, goals, patient privacy, and funding structures. We encourage the development of community-integrated HIEs and list specific steps that can be taken toward community integration. We give three examples of those steps in action from a community HIE in El Paso, TX. Each local partnership, in combination with technology innovation, resulted in the development of informatics tools to address community health needs and generated long-term benefits, especially for the most vulnerable patients. Two examples relate to different aspects of the COVID-19 pandemic and a third to the Afghan refugee evacuation.


Subject(s)
COVID-19 , Health Information Exchange , Humans , Texas , Pandemics , Confidentiality
19.
5th International Conference on Big Data and Artificial Intelligence, BDAI 2022 ; : 26-33, 2022.
Article in English | Scopus | ID: covidwho-2051932

ABSTRACT

The COVID-19 outbreak presents a major challenge in diagnosing and monitoring respiratory diseases. IoT has the potential to address the challenges by remotely providing patients with rich information about respiratory health. However, current IoT-based health monitoring systems do not provide users with sufficient information to access the rich information in Health Social Network (HSN). We developed PhysioVec, a framework for searching HSN using breath sounds. PhysioVec consists of three components: Local Recurrent Transformer (LRT), a Multivariate radial-basis Logistic Interpreter (MLI), and an existing sentence embedding module. LRT combines local attention and recurrent Transformer to reduce overfitting and improve performance in the segmentation of breathing sounds. Physiological information detected from breathing sounds is used to search for relevant health information. PhysioVec achieved 100%., 59.8%., 92.2%., and 100% precision in the top one search results for breath sound with the common cold, influenza, pneumonia, and bronchitis, respectively. Our proposed framework allows users to search HSN for useful information just by recording their breathing sounds on mobile phones. © 2022 IEEE.

20.
Int J Imaging Syst Technol ; 2022 Sep 29.
Article in English | MEDLINE | ID: covidwho-2047631

ABSTRACT

In the present paper, our model consists of deep learning approach: DenseNet201 for detection of COVID and Pneumonia using the Chest X-ray Images. The model is a framework consisting of the modeling software which assists in Health Insurance Portability and Accountability Act Compliance which protects and secures the Protected Health Information . The need of the proposed framework in medical facilities shall give the feedback to the radiologist for detecting COVID and pneumonia though the transfer learning methods. A Graphical User Interface tool allows the technician to upload the chest X-ray Image. The software then uploads chest X-ray radiograph (CXR) to the developed detection model for the detection. Once the radiographs are processed, the radiologist shall receive the Classification of the disease which further aids them to verify the similar CXR Images and draw the conclusion. Our model consists of the dataset from Kaggle and if we observe the results, we get an accuracy of 99.1%, sensitivity of 98.5%, and specificity of 98.95%. The proposed Bio-Medical Innovation is a user-ready framework which assists the medical providers in providing the patients with the best-suited medication regimen by looking into the previous CXR Images and confirming the results. There is a motivation to design more such applications for Medical Image Analysis in the future to serve the community and improve the patient care.

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