Comparison of Predictive Machine Learning Models to Predict the Level of Adaptability of Students in Online Education

With the onset of the COVID-19 pandemic, online education has become one of the most important options available to students around the world. Although online education has been widely accepted in recent years, the sudden shift from face-to-face education has resulted in several obstacles for students. This paper, aims to predict the level of adaptability that students have towards online education by using predictive machine learning (ML) models such as Random Forest (RF), K-Nearest-Neighbor (KNN), Support vector machine (SVM), Logistic Regression (LR) and XGBClassifier (XGB).The dataset used in this paper was obtained from Kaggle, which is composed of a population of 1205 high school to college students. Various stages in data analysis have been performed, including data understanding and cleaning, exploratory analysis, training, testing, and validation. Multiple parameters, such as accuracy, specificity, sensitivity, F1 count and precision, have been used to evaluate the performance of each model. The results have shown that all five models can provide optimal results in terms of prediction. For example, the RF and XGB models presented the best performance with an accuracy rate of 92%, outperforming the other models. In consequence, it is suggested to use these two models RF and XGB for prediction of students' adaptability level in online education due to their higher prediction efficiency. Also, KNN, SVM and LR models, achieved a performance of 85%, 76%, 67%, respectively. In conclusion, the results show that the RF and XGB models have a clear advantage in achieving higher prediction accuracy. These results are in line with other similar works that used ML techniques to predict adaptability levels. © 2023, International Journal of Advanced Computer Science and Applications. All Rights Reserved.

Augmented Reality as an Option to Enhance the Tourism Experience - A Review

Due to the Covid-19 situation, the tourism sector has faced several challenges to be able to gradually continue with its different activities related to the tourism experience. Therefore, the sector has had to reinvent itself to return to the tourism activity;from this context arises the need to explore various technologies and, within this, the different types of augmented reality (AR). This paper is a systematic review of the literature. The following databases were considered: IEEE Xplore, Springer Link, Scopus, and Science Direct. The PRISMA methodology was used to collect and synthesize information. As a result, the different contributions of AR were systematized, and the most used type of AR and the main factors that influence the improvement of the tourism experience with the support of an AR-oriented application have been rescued. Finally, a proposed model for establishing AR-related systems to provide a better tourism experience is presented. © 2023 Seventh Sense Research Group®

Information Technologies that Help Improve Academic Performance, A Review of the Literature

The health emergency originated by Covid-19 led humanity to a virtual coexistence, where the use of information and communication technologies took a fundamental role, in terms of education, teaching continued in remote mode and for this purpose different means, techniques and characteristics were used. The present study is a review of the scientific literature, which analyzes the best techniques and strategies used in remote times, Prisma methodology was used and 127 articles were collected from databases such as IEEE Xplore, ScienceDirect, EBSCO, Scielo, and Scopus, which according to the inclusion and exclusion criteria allowed to identify technologies that improve academic performance in these times, such as the development of mobile applications with artificial intelligence, augmented reality, gamification among others. It is concluded that these technologies are capable of improving academic performance and those that achieve a greater incursion are those that combine two or more technologies © 2023, International Journal of Emerging Technologies in Learning.All Rights Reserved.

Mobile Application with AR as a Strategy to Improve the Marketing Process in a Dental Center

The post-pandemic period brought new challenges for businesses and private health centers, many of which were affected by the loss of customers. In the case of dental centers, many were affected by the distrust of customers, since activities performed in the oral cavity exposed them to the contagion of Covid-19. This research work proposes the implementation of a mobile application with Augmented Reality (AR) as a strategy for digital marketing immersion, to achieve a dynamic approach to the services provided in the dental center to customers, this is through the use of this technology in conjunction with social networks, contributing to the improvement of the business and building trust with customers. The application was developed under the Mobile-D methodology with a layered system development architecture, having as indicators the time of elaboration of the advertisement, the cost of information material, the time to inform the services, and the level of customer satisfaction. Finally, the results revealed that the time of elaboration of the advertisement decreased from 25 hours to 14 hours, the cost of informative material was considered "low" since the implementation of the application turns out to be economic, and the time to inform the services in its marketing process went from 30 min to 19 min with the use of the application, finally, the customer satisfaction increased being considered in 87% between "Good" and "Excellent". © 2023, International Journal of Interactive Mobile Technologies. All Rights Reserved.

Mobile App Prototype: Telemedicine for Mental Health Care During Pandemic

At the end of 2019, the communicable disease COVID-19 was first detected in the city of Wuhan, China. It affected every country in the world. The Peruvian government announced quarantine and social distancing measures to prevent the spread of the virus. As a result of the measures implemented economic and social well-being of people were affected causing an increase in stress, depression and anxiety, which are emotional disorders that affect mental health. Added to this is the lack of access to mental health services. The objective is to develop a telemedicine mobile application prototype for mental health services based on android. The methodology applied was Rational Unified Process (RUP) methodology because it allows documenting, ordering and structuring software development. The result obtained was a prototype of a telemedicine mobile application with a design and functionalities that make access easy for patients and specialist to mental health services. The quality of the prototype was evaluated through the judgment of experts, who assessed its efficiency, usability and security Obtaining after the calculation, 4.66 average or mean;this indicates that according to the established quality range, the quality of the mobile prototype is high. In conclusion, it was possible to develop an efficient, easy to use and safe mobile telehealth prototype that provides a solution facilitating patient access to mental health care services for their emotional, psychological and social well-being. © 2023, International journal of online and biomedical engineering. All Rights Reserved.

Digital Transformation in Higher Education: The UOC Case

The global pandemic caused by COVID-19, has boosted the integration of online learning in Higher Education settings (HE), and traditional universities have been forced to adapt to hybrid learning systems. Digital Transformation is a process that must be carried out by universities and requires substantial and strategic changes in all of its processes. This work presents the case of a university created and developed fully online. The experiences of this university can be useful for other institutions that need to follow a similar path. The presented research was developed in the framework of a European project: "Empower Competences for Onlife Learning in HE" (ECOLHE), developed by a consortium of institutions from several European countries. This research applies several data gathering tools such as in-depth interviews with academic government, focus groups involving teachers-researchers, teachers-tutors and administrative staff and an online survey administered to students. In this work, visions on the elements and difficulties of a digital university are presented: technology must be a way for the improvement of teaching, research, and knowledge sharing, and the change from a traditional face-to-face setting to an online or hybrid system doesn't consist in only applying digital technologies. In addition, we present some lessons learnt that are useful for the implementation of digital transformation in HE institutions.

Vascular Accesses Used in the Administration of Antineoplasic Therapy in an Oncological Day Hospital

Introduction: Antineoplasic chemotherapy in intravenous infusion is one of the most common therapeutic modalities in cancer patients. The vast majority of antineoplasic drugs have an Osmolarity >900 mOsm/l, so its administration must be done through central venous routes. However, the channelling of central routes is limited to patients with difficulty in peripheral venous approach or long-term treatments. Objective(s): Describe the vascular accesses used at the University Hospital of La Ribera for the administration of antineoplastic drugs, assess the adequacy of the same and determine if the type of vascular access used varied during the COVID-19 pandemic. Methodology: A quantitative, observational and analytical cross-sectional study of the vascular accesses used in the administration of antineoplasic therapy in cancer day hospital was carried out. Data collection was carried out through direct observation and consultation of the medical history. The pre-pandemic period was executed from 20 to 21/1/2020(n=125), the pandemic sample from 8 to 12/2/21(n=121). Result(s): Although 70% of the drugs administered had the capacity for tissue aggression, the peripheral venous route was established in 69.9% of cases, the forearm being the most frequent anatomical location (n=102) and the peripheral venous catheter the most commonly used device (n=172). The expected duration of treatment was medium-term in 74.8% of patients. The use of central venous routes during the pandemic increased by 30.7%,(p=0.017), being the subcutaneous venous reservoir the one with the highest representation(RVSC 75.5 %, IPCC 24.5 %). Conclusion(s): Short peripheral venous catheter was the most used device in the administration of chemotherapy in oncology HDD of the UHLR, even administering drugs with high tissue aggression and establishing a medium duration of treatment, being this an area of improvement in the care of cancer patients. During the pandemic, the use of central routes increased in the administration of antineoplasic treatment on an outpatient basis.

Vascular Access and Covid-19 Pandemic in a Quality Program for Intravenous Therapy in Spain (Incativ)

Introduction: INCATIV is a research program carried out by nurses on 34 hospitals of the Region of Valencia (Spain). This program measures vascular access quality on patients of these hospitals via cross-sections. The objective of the study is to evaluate the influence of COVID-19 pandemic in the registers of the vascular accesses' quality program. Method(s): Quantitative observational, analytical, and retrospective study of two cross-sections. First cross-section was developed before pandemic (C10: 02-2020) and second cross-section during pandemic (C11: 05-2020). Data was obtained from INCATIV's platform. Result(s): Among 34 participant hospitals in INCATIV Program, there was a 100% of participation at C10, collecting 7647 registers of all hospital units included at the program. 4820 vascular accesses were evaluated. Only a 1.22% of them presented signs of phlebitis. 92% of the vascular accesses had the right dressing. At C11, there was a 50% of participation. 3234 registers were collected. Phlebitis rate remains at 1.15%. The use of correct dressing reached at 92% too. Discussion and conclusion: Data indicate a strong decrease in the number of participating hospitals as on the number of registers of this quality program focused on intravenous therapy, confirming the existence of changes in the trend of the registers, in the absence or presence of pandemic moments. On the other hand, it is observed that there are no statistically significant differences related to the quality of the vascular accesses, showing that two main indicators measured, included at INCATIV bundle, such as type of dressing and signs of phlebitis, remain constant despite being measured at two different pandemic moments. Further studies are necessary about how vascular accesses nursing care has changed only in COVID-19 patients.

Mobile Applications for the Implementation of Health Control against Covid-19 in Educational Centers, a Systematic Review of the Literature

A health crisis caused by the SARS-CoV-2 virus is still ongoing. That is why an important factor for the resumption of on-site classes is the creation of sanitary measures to help control Covid-19. The present research is a literature review, The PRISMA methodology is used and 265 articles are collected from various databases such as EBSCO Host, IEEE Xplore, SAGE, ScienceDirect, and Scopus. According to the inclusion and exclusion criteria, the most relevant articles aligned to the topic were identified, systematizing 119 articles. Showcasing digital technologies used in mobile applications that allow better control, tracking, and monitoring of the health status of students, teachers, and staff of educational centers, in addition to the parameters and quality attributes that must be taken into account for the effective sanitary control of the disease, finally, a development model is proposed. © 2022, International Journal of Advanced Computer Science and Applications. All rights reserved.

Mobile Application Design: Sale of Clothes Through Electronic Commerce

During the COVID-19 pandemic, small clothing sales companies lost economic income and customers due to a lack of digital transformation, causing the dismissal of many employees. Due to this problem, our objective is to design an ecommerce mobile application for the sale of clothes, so that Small and medium-sized enterprises dedicated to this area generate income and retain their customers. For this, the Rational Unified Process (RUP) methodology was applied, because this methodology provides a structured way for companies or developers to visualize the development of the software, and for the validation by expert judgment, the survey and the questionnaire were used as instruments. Obtaining as a result a positive rating for the design of the mobile application and its acceptance to accommodate what is reflected. In conclusion, the e-commerce mobile application was successfully designed, backed by expert judgment, so that Small and medium-sized enterprises can offer their products and generate income, as well as build customer loyalty. © 2022. International Journal of Advanced Computer Science and Applications. All Rights Reserved.

Analysis of Information and Communication Technologies for Dengue Cases Control. A Review of the Scientific Literature

Currently, the world is being affected by the spread of dengue disease with a complex epidemiological scenario of simultaneous transmission with COVID-19 in the Americas and the world. It is, therefore, important to monitor, diagnose, and follow-up cases of this disease. The study conducted is a review of the scientific literature, which collects 133 articles from databases: EBSCO, IEEE Xplore, ScienceDirect, Scopus, IOP Publishing, and others. That according to our inclusion and exclusion criteria, 53 articles were systematized. Showing the tics that facilitate the control and follow-up of dengue cases. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Machine Learning Analysis in the Prediction of Diabetes Mellitus: A Systematic Review of the Literature

In recent years, diabetes mellitus has increased its prevalence in the global landscape, and currently, due to COVID-19, people with diabetes mellitus are the most likely to develop a critical picture of this disease. In this study, we performed a systematic review of 55 researches focused on the prediction of diabetes mellitus and its different types, collected from databases such as IEEE Xplore, Scopus, ScienceDirect, IOPscience, EBSCOhost and Wiley. The results obtained show that one of the models based on support vector machine algorithms achieved 100% accuracy in disease prediction. The vast majority of the investigations used the Weka platform as a modeling tool, but it is worth noting that the best-performing models were developed in MATLAB (100%) and RStudio (99%). © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Information and Communication Technologies for Employability in Times of COVID-19, a Systematic Literature Review

Due to the pandemic that emerged at the end of 2019 (COVID-19), humanity is going through a great crisis and one of the most affected sectors is work due to the large amount of unemployment that it generated, thus resulting in a very low rate of employability. That is why the present study aims to find the determining factors to increase employability. The study conducted is a review of scientific literature, which collects 61 articles from the databases: IEEE Xplore, Scopus, Proquest, Ebsco, and other databases. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Portable Electronic Dispenser for Personal Hygiene and prevention of COVID-19

This research proposes the design of a portable electronic dispenser for personal hygiene, which will help reduce the spread of COVID-19, or other diseases or infections that can appear due to lack of hygiene. This dispenser will contain alcohol, will be attachable to the desired arm, either left or right, and will also have a drying mechanism. The disinfectant dispenser and air dispenser will be voice controlled by means of a microphone;the words “alcohol” or “air” must be spoken. When the word “alcohol” is said, the dispenser will begin to expel this liquid toward the direction that is being pointed, be it our hands, body, surroundings, etc. When the word “air” is said, the drying mechanism will be activated, and the air that will start to be expelled will go in the direction that is being pointed, be it to our hands, body, environment, etc. Fourier transform algorithms were used to perform the signal processing. In this work, the MATLAB software was used for the voice recognition of this portable electronic dispenser for the toilet. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Business Intelligence in Strategic Business Decision Making in Times of COVID-19: A Systematic Review of the Literature

Today, as a result of the pandemic we are going through due to the infectious disease COVID-19, many small, medium and large companies worldwide have had difficulties to stay in the market, because they have not made appropriate strategic decisions causing most of them to close. It is therefore important that companies adapt business intelligence and note the effect it has on them. The present investigation is a systematic review of the literature, compiling 55 articles from the following databases;Springer Link, IEEE Xplore, Wiley and Scopus that according to our inclusion and exclusion criteria 26 articles were systematized showing how business intelligence adapts and positively influences companies. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Transforming a public university hospital and its area of influence into a comprehensive resource in response to the COVID-19 pandemic.

INTRODUCTION AND OBJECTIVES: The outbreak of COVID-19 has overwhelmed healthcare systems all over the world. The aim of this article is to describe the process of transforming the Vall d'Hebron University Hospital, the second largest hospital in Spain, into a COVID-19 centre coordinating response to the pandemic in its reference area. MATERIALS AND METHODS: The study draws on the experience of the authors in transforming the hospital into a comprehensive resource in response to the COVID-19 pandemic. The strategy is based on four central strategies: early planning, coordination of all healthcare agents in its reference area, definition of clear leadership roles, and the organisation of care based on multidisciplinary teams with minimal recruitment of new staff. RESULTS: The transformation strategy enabled the hospital to cope with the surge in patients without exceeding its capacity. During the response phases, which amounted to a period of 57 days, 3106 patients consulted the ER and 2054 were admitted, 346 of whom were treated at the ICU. To accommodate the number of adult COVID-19 patients, adult ICU availability was progressive increased by 371%, and ordinary beds increased by 240. A total of 671 staff members went on sick leave after testing positive for COVID-19. CONCLUSION: The transformation experience of the hospital provides insight into how effectively adapt the structures and functioning of large hospitals. The relevance of territorial coordination during the pandemic is stressed as an effective strategy that contributed coping the pandemic.

Analysis for crime prevention using ICT. A review of the scientific literature from 2015 - 2021

Crime is a social problem that after the confinement of COVID-19 has increased significantly worldwide, which is why it is important to know what technological tools can be used to prevent criminal acts. In the present work, a systemic analysis was carried out to determine the importance of how to prevent crime using new information technologies. Fifty research articles were selected between 2015 and 2021. The information was obtained from different databases such as IEEE Xplore, Redalyc, Scopus, SciELO and Medline. Keywords were used to delimit the search and be more precise in our inquiry on the web. The results obtained show specific information on how to prevent crime using new information technologies. We conclude that new information technologies help to prevent crime since several developed countries have implemented their security system effectively, while underdeveloped countries do not have adequate technologies to prevent crime. © 2021 IEEE.

Analysis of the use of Machine Learning in the detection and prediction of hypertension in COVID 19 patients. A review of the scientific literature

The world is currently experiencing a major pandemic with the SARS-CoV-2 virus in which many patients who suffer and have suffered from this disease are more likely to suffer from hypertension. For this purpose, we have carried out a review of the scientific literature, from which we have collected 105 articles obtained from the following databases: ProQuest, Dialnet, ScienceDirect, Scopus, IEEE Xplore. Subsequently, based on the inclusion and exclusion criteria, 68 articles were systematized, detailing that Machine Learning helps us in the detection and prediction of hypertension in patients with coronavirus, Likewise, the predictive models that allow better detection of hypertension in patients with Covid 19 are 'Neural Networks', 'Cox Risk Model', 'Random Forest' and 'XGBoost', detailing the countries and technologies used. © 2021 IEEE.

Value of laboratory parameters in the clinical monitoring of patients with SARS-CoV-2 infection (COVID-19)

Background : Association between some analytical parameters and clinical evolution of patients infected by SARS-COV-2 is a controversial issue. Aims : Review the relationship between laboratory parameters and severity and/or lethality of the COVID-19. Methods : Observational, cross-sectional and retrospective study. Data obtained from electronic health record of patients over 18 years of age admitted in our hospital, between March and May 2020 with suspected SARS-COV-2 infection. After descriptive statistical study, we did an inferential analysis using Mann-Whitney U test for independent samples, in order to verify association between the results of analytical parameters and the clinical severity (defined by hospitalization in conventional ward vs. intensive care units (ICU)) and/or lethality (alive vs. death at the end of the study). Results : 668 patients were included, 345 men (52%) and 323 women (48%), with a median age of 70 years. 80% of patients had previous comorbidities, 10% were admitted to the ICU, and 17% died.Differences were found in hematimetric parameter between the different groups: leukocytes (10 3 /μl): 8.3 in ICU patients vs. 6.5 in those admitted to the ward;platelet count (10 3 /μl) of 182l in death patients vs. 223 in survivors;hemostasis parameters: D-dimer (DD) (μg/L) of 1379 and 1236 in deceased and admitted to the ICU respectively, compared to 734 and 786 in survivors and not admitted to ICU;and biochemical figures (increase in C-reactive protein (CRP), lactate dehydrogenase (LDH) or cardiac enzymes, the latter, especially, in patients who were deceased, with a median ultrasensitive troponin I (ng/L) of 34.75 vs. 7.1 in survivors. The differences were statistically significant ( P value <0.01). Conclusions : Correlation exist between severity of infection and the increase in leukocytes, neutrophils, DD, CRP and LDH, and lymphopenia, in our sample. Decrease in the platelet count and the increase in cardiac enzymes were associated with an increased risk of mortality.

Incidence of disseminated intravascular coagulation (DIC) in critical patients with COVID-19

Background : A first publication by Tang et in March 2020 reported a high incidence of Disseminated Intravascular Coagulation (DIC) in patients who died from SARS-COV-2 (COVID-19) infection. Since then, some studies have questioned this high incidence. Aims : To investigate the incidence of DIC in patients with confirmed diagnosis of severe COVID-19, who required admission to the ICU. Methods : Observational, descriptive, and retrospective study that includes patients older than 18 years with severe COVID-19 infection admitted to the ICU of the “Miguel Servet” University Hospital, between March to November 2020. All clinical and laboratory parameters, as well as the clinical conduct, were requested and carried out according to the usual clinical practice. Results : We included 130 patients 60% men, median age of 67 years (24-79), mortality of 40.8%, 9 cases (6.9%) of established DIC were documented, with impact in survival (Figure 1). Conclusions : Mortality in our series is similar to that reported (40%), the incidence in our series is higher than a recently published metaanalysis (6.9 VS 3%). The low incidence of DIC is interesting, because the high frequency of coagulopathy and elevation of D-dimer in the published series so, this raises the question, if there really is a classic DIC in patients with COVID-19. In our series, none of the patients with DIC presented hypofibrinogenemia. These findings support the theory that coagulopathy in COVID-19 patients is different from classic DIC and requires different management and classification.