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Background: The coronavirus disease 2019 has been spread almost all over the world in the last two years, including in India. Vaccines are a critical tool in the battle against COVID-19, and India has flagged the largest vaccination drive on 16 January 2021. Although public acceptance was varying, which can lead to non-acceptance. Aim & Objective: To estimate an acceptance of the COVID-19 vaccine and its associated factors. Settings and Design: An analytical cross-sectional study among health care workers in India Methods & Material: It was conducted using a validated, self-administrated online survey questionnaire, and data were analyzed using SPSS 23 version. The outcome variable was healthcare workers' acceptance of a COVID-19 vaccine. Results: A total of 450 HCWs participated, including 205(45.6%) women and 245(54.4%) men. A total of 270 (60%) subjects will accept vaccines, while 33.3% were unwilling to accept and wait for vaccines. Male gender (OR=3.14), being married and experienced (OR=11.49), vaccine effectiveness (OR=6.4), vaccine safety (OR=3.4), and past history (OR=2.28) were significantly associated. On applying logistic regression for associated factors, gender (B= -1.145, S.E.= 0.200, Wald 32.748), being married (B= -1.482, S.E.= 0.216, Wald 46.937), for experienced (B= -0.865, S.E.= 0.200, effectiveness (B= -1.856, S.E.= 0.245, Wald 57.431), Safety (B= -1.224, S.E.= 0.202, Wald 36.633) and past history (B= -0.357, S.E.= 0.248, Wald 2.071) found significant. Recommendation: Proper information is crucial and healthcare workers' attitudes about vaccines are an important factor for acceptance and recommendation of the vaccine to the public for population-wide coverage.
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Background: The use of cryopreservation for stem cell grafts for both autologous stem cell and allogeneic cord blood transplant has been utilized for years. For other allogeneic stem cell transplant sources, the use of fresh collected grafts has been preferred due to concerns that cryopreservation may result in impaired graft function. With the onset of the COVID-19 pandemic a shift was made at our institution to exclusive use of cryopreservation Methods: In this retrospective single-center analysis a total of 133 patients undergoing allogeneic stem cell transplant at the University of Minnesota between 1/2018-6/2021 for a variety of malignancies were included, with 62 patients receiving fresh stem cell product and 71 patients receiving frozen stem cell product. Univariate statistical analysis was performed. Result(s): There was no significant difference between the two groups with regards to product type, sex, age, diagnosis (acute leukemia vs other), disease risk index, conditioning regimen, Karnofsky score, co-morbidity index, or cell dose (Table 1). Donor type was notably different between the two groups (p<0.01): matched sibling grafts were more commonly used for fresh products than frozen (85% vs. 35%), while matched unrelated donors were used more frequently for frozen than for fresh products (54% vs. 6%). Use of frozen product was associated with delayed neutrophil and platelet engraftment compared to fresh (median days to engraftment 15 vs 12 for neutrophils, 23 vs 17 for platelets, p<0.01 for both). Two-year relapse rates were significantly lower for frozen products (4%) than fresh (24%) (Table 2). This may be partially attributable to differences in follow up between the groups, as fresh products had a total of 910 days of follow up vs 432 for frozen products (P<0.0001). The difference in follow up remained statistically significant if the data was censored at 730 days (P<0.0001). Of note, the use of frozen products was associated with a lower rate of chronic graft-versus-host disease at one year post-transplant (p<0.01). There was no significant difference in the rates of acute GVHD between the groups. There were significant differences in GVHD prophylaxis regimens between the fresh and frozen groups (p<0.01). (Figure Presented)Two-year overall survival did not differ between groups (p=0.96). Conclusion(s): Use of cryopreserved stem cell products is associated with similar efficacy and outcomes as those seen with the use of fresh stem cell products. Although the data presented here suggest novel finding of decreased risk of relapse and chronic GVHD with the use of frozen stem cell products, additional follow up may abrogate these differences. Regardless, the logistical benefits of cryopreservation make this an attractive option for continued use in allogeneic transplants and our data presented here suggests that cryopreserved products remain an appropriate option for allogeneic stem cell transplant.Copyright © 2023 American Society for Transplantation and Cellular Therapy
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Objective: The present study aimed to ensure the safety and related potential adverse effects following ChAdOx1 nCoV-19 vaccination (AZD1222) in a scenario when numerous vaccines have been approved on an emergency basis by the WHO and other regulatory agencies to prevent the widespread of COVID-19 infection and to decrease the associated mortality and morbidity. Method(s): This study was an open, non-comparative, non-interventional, observational study conducted on healthcare workers of BPS Govt. medical college for women and elderly people who received the first dose of COVID-19 vaccinationChAdOx1 nCoV-19 vaccine (AZD1222) by conducting their interviews and recording the data Results: Between January and March 2021, a total of 1907 participants were enrolled in this study. Out of 1907 recipients, 70 recipients reports adverse drug events following vaccination. Myalgia (0.629%), headache (1.31%), fever >=(37.5 degreeC, 0.839%) and fever with chills (>= 37.5 degreeC, 1.048) were the most common adverse events after the first dose of vaccination of ChAdOx1 nCoV-19 vaccine (AZD1222. Throat irritation (0.209 %) and Generalised itching (0.262) were the least common adverse events. Conclusion(s): ChAdOx1 nCoV-19 (Astrazeneca) has an acceptable safety profile as observed in this study. To our knowledge, very few studies are done that review the safety of COVID-19 vaccines. Further safety data from a larger sample size and of longer duration are warranted to establish safetyCopyright © 2023 Innovare Academics Sciences Pvt. Ltd. All rights reserved.
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This work presents the sensitivity assessment of gallium nitride (GaN) material-based silicon-on-insulator fin field effect transistor by dielectric modulation in the nanocavity gap for label-free biosensing applications. The significant deflection is observed on the electrical characteristics such as drain current, transconductance, surface potential, energy band profile, electric field, sub-threshold slope, and threshold voltage in the presence of biomolecules owing to GaN material. Further, the device sensitivity is evaluated to identify the effectiveness of the proposed biosensor and its capability to detect the biomolecules with high precision or accuracy. The higher sensitivity is observed for Gelatin (k = 12) in terms of on-current, threshold voltage, and switching ratio by 104.88%, 82.12%, and 119.73%, respectively. This work is performed using a powerful tool, three-dimensional (3D) Sentaurus Technology computer-aided design using a well-calibrated structure. The results pave the way for GaN-SOI-FinFET to be a viable candidate for label-free dielectric modulated biosensor applications.
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Purpose: This paper aims to implement and extend the You Only Live Once (YOLO) algorithm for detection of objects and activities. The advantage of YOLO is that it only runs a neural network once to detect the objects in an image, which is why it is powerful and fast. Cameras are found at many different crossroads and locations, but video processing of the feed through an object detection algorithm allows determining and tracking what is captured. Video Surveillance has many applications such as Car Tracking and tracking of people related to crime prevention. This paper provides exhaustive comparison between the existing methods and proposed method. Proposed method is found to have highest object detection accuracy. Design/methodology/approach: The goal of this research is to develop a deep learning framework to automate the task of analyzing video footage through object detection in images. This framework processes video feed or image frames from CCTV, webcam or a DroidCam, which allows the camera in a mobile phone to be used as a webcam for a laptop. The object detection algorithm, with its model trained on a large data set of images, is able to load in each image given as an input, process the image and determine the categories of the matching objects that it finds. As a proof of concept, this research demonstrates the algorithm on images of several different objects. This research implements and extends the YOLO algorithm for detection of objects and activities. The advantage of YOLO is that it only runs a neural network once to detect the objects in an image, which is why it is powerful and fast. Cameras are found at many different crossroads and locations, but video processing of the feed through an object detection algorithm allows determining and tracking what is captured. For video surveillance of traffic cameras, this has many applications, such as car tracking and person tracking for crime prevention. In this research, the implemented algorithm with the proposed methodology is compared against several different prior existing methods in literature. The proposed method was found to have the highest object detection accuracy for object detection and activity recognition, better than other existing methods. Findings: The results indicate that the proposed deep learning–based model can be implemented in real-time for object detection and activity recognition. The added features of car crash detection, fall detection and social distancing detection can be used to implement a real-time video surveillance system that can help save lives and protect people. Such a real-time video surveillance system could be installed at street and traffic cameras and in CCTV systems. When this system would detect a car crash or a fatal human or pedestrian fall with injury, it can be programmed to send automatic messages to the nearest local police, emergency and fire stations. When this system would detect a social distancing violation, it can be programmed to inform the local authorities or sound an alarm with a warning message to alert the public to maintain their distance and avoid spreading their aerosol particles that may cause the spread of viruses, including the COVID-19 virus. Originality/value: This paper proposes an improved and augmented version of the YOLOv3 model that has been extended to perform activity recognition, such as car crash detection, human fall detection and social distancing detection. The proposed model is based on a deep learning convolutional neural network model used to detect objects in images. The model is trained using the widely used and publicly available Common Objects in Context data set. The proposed model, being an extension of YOLO, can be implemented for real-time object and activity recognition. The proposed model had higher accuracies for both large-scale and all-scale object detection. This proposed model also exceeded all the other previous methods that were compared in extending and augmenting the object detection to activity recognition. The proposed model resulted in the highest accuracy for car crash detection, fall detection and social distancing detection. © 2023, Emerald Publishing Limited.
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Avascular osseo-necrosis is one of the rare complications that has never been reported in pediatric mandibular distraction. However extensive periosteal stripping, developing tooth buds and aberrations related to the inferior alveolar canal in malformed syndromic mandible may lead to compromised vascularity to the osteotomised segments leading to avascular necrosis after monofocal mandibular distraction. The aim of the current case report is to describe this rare complication after pediatric MMDO and discuss in detail the possible etio-pathologic mechanisms and provide an insight for the management strategies.Copyright © 2021 The Authors
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Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a novel coronavirus accountable for the coronavirus disease 2019 (COVID-19) that has led to many fatal cases worldwide. It causes a severe acute respiratory syndrome, a hyperinflammatory response, vascular damage, mi-croangiopathy, and widespread thrombosis. Vaccines, interferon therapies, and small-molecule drugs may be among the various alternatives for managing or preventing emerging SARS-CoV-2 infections. New interventions, on the other hand, are likely to take months to years to develop. Furthermore, existing antiviral agents commonly develop viral resistance along with certain side effects. Therefore, effective prevention and treatment medications without side effects against human coronavirus are urgently needed. Indian and Chinese traditional medicine have suggested some natural products for the prevention, treatment, and rehabilitation of the diseases, including COVID-19 and various herbs and mushrooms that have been reported to possess potential antiviral and anti-inflammatory activities. Therefore, in this pandemic, traditional medicines pose a ray of hope for human health. The Ministry of Ayush, India, has also recommended a number of therapies to increase immunity in addition to ayurvedic treatments. Thus, the probability of naturally occurring substances as successful treatments against COVID-19 may seem hopeful due to their diverse biological and therapeutic properties. This review focuses on the latest updates of Ayurvedic herbs and spices as promising approaches for treatment during this devastating pandemic situation.Copyright © 2023 Bentham Science Publishers.
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Background: POSNOC is a UK-ANZ multicentre, non-inferiority, randomised trial comparing systemic therapy alone with systemic therapy plus Axillary Treatment (Axillary radiotherapy or ALND) for women with <=2 macrometastases at SNB. The primary outcome is axillary recurrence within 5 years. This paper describes screening, recruitment and compliance data. Method(s): Sites were requested on a monthly basis to upload screening data and provide reasons for nonrecruitment of eligible patients into the trial. Sites entered in the online database whether the patients were compliant with their randomisation allocation. Result(s): The study opened in July 2014 and completed target recruitment of 1900 women (24% of those screened) in July 2021, at 95 sites in the UK and 20 sites in Australia and New Zealand. The reason for non-enrolment was unknown in 1300 women. Of the remaining 4774 women with known reasons, who were screened but not randomised, the most common reasons for non-recruitment were due to either patients (n=2219, 46.5%) or their clinicians (n=782, 16.4%) favouring axillary treatment, or patients (n=490, 10.3%) or their clinicians (n=170, 3.6%) not wishing to have axillary treatment. Over the course of the study, there was an increase in the proportion of patients wanting axillary treatment and declining the trial (Mean % patients declined 2015 - 17.9%, 2021 - 39.1%). Mean number of participants recruited per site per month was 0.24 (SD 0.18) overall, 0.25 (SD 0.19) in the UK, and 0.19(SD 0.15) in ANZ. The mean was < 0.3 in 79 sites and >0.9 in only one site. Recruitment rate remained consistent throughout the study (mean 25.3 per month) except for during the first 6 months of recruitment (5.7) and during the COVID pandemic Apr-Sep 2020 (7.5). Of 89 (4.8%) participants non-compliant with allocation, n=45 (50.6%) received systemic therapy alone and n=44 (49.4%) received systemic therapy plus axillary treatment. There was no fluctuation in the direction of non-compliance during the study duration. There was increasing uptake of axillary radiotherapy to treat the axilla instead of ALND over the course of the study in patients receiving axillary treatment (Number who had ART of all who had axilla treatment2014-2017 - 248/454 (54.6 %);2018-2021 - 315/449 (70.2%)). Conclusion(s): Recruitment and compliance with randomised allocation remained consistent over a seven-year period. POSNOC with in-built radiotherapy QA will provide definitive data on axillary management in patients undergoing mastectomy or BCS with <=2 macrometastases on SNB.
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Background: Migrant labourers had particularly tough time after imposition of complete lockdown in India during March, 2020, due to COVID-19 pandemic. Millions of people in India migrate out of their natives to large cities, in search of work and livelihood. In large construction projects, groups of families of labours usually camp in temporary shelters (labour colonies) at construction sites for months together. This practice not only serves their need for shelter but also social needs. As multiple families living, together in shared physical space and work environment, they form communities that provide for protection and affiliation needs for children, women, and elders. Community level interventions during COVID-19 pandemic have rarely been reported. Methods: This paper report a case study based upon authors' experience of psychosocial intervention for a community of migrant labourers distressed due to unexpected lockdown. The report describes the rapid assessment and fast action of psychosocial care provided to community of migrant labourers at the campus of National Institute of Mental Health and Neurosciences, Bangalore, India. Results: Rapid assessment indicated significant distress among the community members due to lack of basic facilities, nonfood essentials, lack of information on Covid-19, loss of wages. Basic amenities and non-food resources, as well as health education and counselling were delivered as part of psychosocial interventions. Conclusion: The psychosocial aspects of the living of migrant workers are an issue that is tangled with several stressors including family separation, acculturation, unpredictability of job and livelihood, restricted mobility and marginalization. Thus they particularly vulnerable during major socio-economic disruptions. Keeping these considerations in mind, migrant workers require focused attention and support from concerned authorities in order to manage their psychosocial issues and well-being. © 2023 DMICS.
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This research report is based upon experience in psychosocial intervention conducted during COVID-19 pandemic at a large National Mental Health Institute. The aim of this intervention was to relieve from distress the patients and caregivers stranded at the campus of National Institute of Mental Health and Neurosciences (NIMHANS), India due to imposition of lockdown. As the institute is a tertiary care center, patients from everywhere regularly seek treatment at the institute. Three hundred discharged patients and their caregivers who had come for treatment from different states were stranded due to lockdown. They were distressed due to multiple challenges related to lack logistics, adequate shelter, uncertainty about food and medicines. A team from the Centre for Psychosocial Support in Disaster Management (CPSSDM) of NIMHANS proactively initiated a gross assessment of needs and challenges faced by this distressed group. The team delivered psychosocial intervention to this group in mobilizing various Non-Governmental Organizations (NGOs) support. We followed the CARE case report guidelines while preparing this report. The report provides practical insights into nature of psychosocial needs and interventions relevant to a specific group of people in transit during a pandemic. © 2023 DMICS.
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India is a country where majority of the population resides in rural areas. For the development of India, it is necessary to focus on the core of India, i.e., the villages. Now, for developing villages, demand needs to be generated and supply chains to be put in place for ensuring fast-paced development. There are a plethora of employment opportunities and a million plus one can be created but villagers generally tend to relocate to metro cities for better facilities, resulting in overburdening of cities as well as slow development of villages. During the pandemic, India witnessed a large-scale migrant crisis. To bridge the gap between employers and employees, primarily focused on villages, we have developed an application—Atamnirbhar Gaon. Using this application, the workers can get equitable employment prospects like entrepreneurship, businesses, and skill set enhancement in their respective hometown. This venture can boost the development of villages and hence the development of the nation. This is a bilingual application—supports both Hindi and English;any illiterate person can also avail the functionality of this application through voice, know about the places near him where a person can learn new technologies or update his skills, weather updates for sowing the crops, latest updates in farming, and lastly can also get the importance of vaccination against Covid-19 and the available slots for vaccination. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Introduction: Timely treatment of ST elevation myocardial infarction [STEMI] requires ongoing coordinated care between emergency departments, paramedics, and primary percutaneous coronary (PCI) intervention facilities. Method(s): To provide a current view and a national benchmark, we examined 121,576 patient records submitted by 648 hospitals participating the GWTG-CAD registry from Q2 2018 through Q3 2021 [median age 63, women 29%, Black 11%, Hispanic 8%, admission cardiac arrest 5%, shock 7%, heart failure 7%, Covid 0.2%, presentation EMS 47%, walk in 27%, transfer 22%] Results: Reperfusion method for all patients included primary PCI 87%, fibrinolysis 5%, and no reperfusion 8% [increasing from 7 to 9% during the study period]. Median time from symptom onset to reperfusion was shortest for EMS patients 148 minutes, followed by walk-in 195 minutes, ground transferred 238 minutes, and air transferred 247 minutes. Process times did not improve during the study period. First medical contact to device times increased by 5 minutes for EMS and ground transferred patients in Q2 2020 corresponding with the pandemic onset, and adjusted mortality was significantly higher in the final 3 quarters compared to Q2 2018 [OR, 95% CI 1.28(1.07-1.53);1.35(1.13-1.61);1.23(1.03-1.48)]. Patients treated within guideline goals had significantly lower mortality [Figure]. Conclusion(s): These data reaffirm the association between process times and lower mortality for STEMI patients. They also identify concerning trends and opportunities for improved care. Increasing delays in treatment, particularly for hospital transfer, greater numbers of untreated patients, and increased risk-adjusted in-hospital mortality all provide strong impetus for renewed focus on STEMI systems. Regional collaborative efforts led by coordinators and informed by a common data system have the potential to reverse these trends and improve survival.
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The Coronavirus disease 2019 (COVID-19) pandemic caused by the novel severe acute respiratory syndrome Coronavirus 2 (SARS CoV-2) has created a never-before-seen problem for humanity. The world was pushed into a position where we needed to identify the effective drugs for a disease that has unknown characteristics in the early 2020s. SARS CoV-2 Virology research suggested that several drugs could be the potential targets. Remdesivir was the first drug that was shown to have promising results in in vitro studies. Remdesivir became the first antiviral drug approved by USFDA for the management of COVID-19. But later studies show equivocal results. For this entirely new disease, we are still searching the perfect drug. Many existing drugs have been repurposed (steroids, anticoagulation, hydroxychloroquine) with varying success. Many new drugs have been researched for the management of this menace. In this review, we will discuss the mechanisms, uses, dosage, duration, and adverse effects of drugs used in COVID-19. © 2022 Elsevier Inc. All rights reserved.
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India is a country where majority of the population resides in rural areas. For the development of India, it is necessary to focus on the core of India, i.e., the villages. Now, for developing villages, demand needs to be generated and supply chains to be put in place for ensuring fast-paced development. There are a plethora of employment opportunities and a million plus one can be created but villagers generally tend to relocate to metro cities for better facilities, resulting in overburdening of cities as well as slow development of villages. During the pandemic, India witnessed a large-scale migrant crisis. To bridge the gap between employers and employees, primarily focused on villages, we have developed an application—Atamnirbhar Gaon. Using this application, the workers can get equitable employment prospects like entrepreneurship, businesses, and skill set enhancement in their respective hometown. This venture can boost the development of villages and hence the development of the nation. This is a bilingual application—supports both Hindi and English;any illiterate person can also avail the functionality of this application through voice, know about the places near him where a person can learn new technologies or update his skills, weather updates for sowing the crops, latest updates in farming, and lastly can also get the importance of vaccination against Covid-19 and the available slots for vaccination. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Aim: Post operative hypocalcaemia is the most frequent complication following thyroidectomy. It can be permanent or transient hypoparathyroidism of which the incidence of permanent hypoparathyroidism is less than 3 %. This study aimed to evaluate and identify the predictors of postoperative hypocalcaemia in patients undergoing thyroidectomy. Methodology: A prospective cohort study was conducted on 52 patients at an apex care institute. Preoperative testing for serum calcium, Parathormone (PTH) and Vitamin D were done on the day of surgery. These patients were subjected to surgery as per standard protocol. Postoperative testing for PTH was done 24 hours after surgery and serum calcium on day 0 and 1. All patients were assessed clinically for signs and symptoms of hypocalcemia till 48 hours post operatively and they were correlated with biochemical parameters and season in which surgery was performed. Result(s): A total of 52 patients were operated in our institute over a period of 18 months in the midst of COVID 19 outbreaks. Both hemi thyroidectomy (40) and total thyroidectomy (12) patients were included in the study. One significant finding was the low levels of preoperative Vitamin D values among 90% of the subjects. Out of the 52 patients, 12 underwent total thyroidectomy and 40 underwent hemi thyroidectomy as per standard protocols. 54% of the patients of total thyroidectomy and 52% of the patients of hemi thyroidectomy developed clinical as well as biochemical hypocalcemia over a period of 48 hours and were managed as per standard protocol. 38% of the patients were having low calcium values preoperatively and a statistically significant correlation was found between preoperative low calcium value and development of postoperative clinical hypocalcemia (P value 0.001). There was no statistically significant correlation between Pre operative Vitamin D level and season of surgery with postoperative clinical hypocalcemia. Conclusion(s): All patients being planned for surgery, whether it is total or hemi thyroidectomy should undergo preoperative serum calcium evaluation and necessary correction if required, since preoperative low calcium is a clear predictor of post thyroidectomy clinical hypocalcemia. Further studies are required to correlate relation between Vit. D level and postoperative hypocalcemia.
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In India’s battle with COVID-19, recovery was largely under-predicted and financial sector distress over-predicted on the view that more structural reforms were a prerequisite for growth. Inferences derived from better-than-expected outcomes are that beyond fundamental reforms, sustaining Indian growth requires continued fiscal supply-side action that reduces costs of doing business and inflation, allowing monetary policy to keep real interest rates below growth rates, thus stimulating demand and allowing public debt ratios to fall. External shocks have to be smoothed, while avoiding large domestic policy shocks in order to lower growth volatility and undertaking only feasible complementary reforms. © 2022 Economic and Political Weekly. All rights reserved.
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The novel coronavirus disease (COVID-19) emerged in December 2019. It is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and is still existent all over the world. Researchers worldwide are continuously conducting in silico studies or virtual screening on various phytochemicals and reporting potential candidates that can be developed against COVID-19 after in vitro and in vivo validation. Antiviral effects of several phytochemicals have been demonstrated against different kinds of coronavirus, including SARS-CoV. Using drug repurposing techniques, a number of phytochemicals have shown substantial antiviral efficacy against COVID 19. This article reviews the efficacy of lead phytochemicals in computational studies on different important targets of SARS-CoV-2 like main protease, ACE-2, papain-like protease, spike protein, nsp-1, nsp-15, RdRp, MTase, helicase, cathepsin, TMPRSS-2. This review discusses potential application of these phytochemicals, which can guide medicinal chemists to choose phytochemicals to proceed with further in vitro and in vivo testing for SARS-CoV-2, which may eventually lead to an effective therapeutic agent and thus can be used to control the current ongoing pandemic. © 2022 Bentham Science Publishers.
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Anxiety and Depression are among the extremely crucial mental health issues. Every year, millions of individuals suffer from depression and anxiety, yet only a small percentage of them receive timely treatment. Throughout the last few decades, the evolution of machine learning methods has considerably aided in the development of technologies that assist clinicians in predicting various sorts of mental illnesses. As the Covid-19 pandemic rapidly spreads over the world, the global gaming industry is booming. Youth is increasingly focused on digital games due to lockdown and social distancing policies. This work presents a system for predicting if a player suffers from psychological illnesses such as anxiety and depression by combining game and player information with a selfesteem measure. The game and player's data has been gathered from two questionnaires namely, GAD and SWL, and multiple state-of-the-art simulations have been conducted. Four different machine learning classifiers were tested using 10-fold cross-validation approach on data set of internet gamers. Among the four algorithms, Decision Tree classifier showed the best accuracy for all predicted parameters. For GAD and SWL questionnaires, decision tree obtains accuracy of 100% and 84.71% respectively. © 2022 IEEE.