A Comprehensive Study on Healthcare Datasets Using AI Techniques DOI Open Access
Sunit Mistry, Lili Wang, Yousuf Islam

et al.

Electronics, Journal Year: 2022, Volume and Issue: 11(19), P. 3146 - 3146

Published: Sept. 30, 2022

Due to greater accessibility, healthcare databases have grown over the years. In this paper, we practice locating and associating data points or observations that pertain similar entities across several datasets in public healthcare. Based on methods proposed study, all sources are allocated using AI-based approaches consider non-unique features calculate similarity indices. Critical components discussed include accuracy assessment, blocking criteria, linkage processes. Accurate measurements develop for manually evaluating validating matched pairs purify connecting parameters boost process efficacy. This study aims assess raise standard of aid doctors’ comprehension patients’ physical characteristics by NARX detect errors machine learning models decision-making process. Consequently, our findings mortality rate patients with COVID-19 revealed a gender bias: female 15.91% male 22.73%. We also found bias mild symptoms such as shortness breath: 31.82% 32.87%. With congestive heart disease symptoms, was follows: 5.07% 7.58%. Finally, typical overall both males females 13.2%.

Language: Английский

An Approach to Determine and Categorize Mental Health Condition using Machine Learning and Deep Learning Models DOI Open Access

B Bhavani,

N C Naveen

Engineering Technology & Applied Science Research, Journal Year: 2024, Volume and Issue: 14(2), P. 13780 - 13786

Published: April 2, 2024

The mental health of the human population, particularly in India during and after COVID-19 pandemic is a major concern. All age groups have undergone stress COVID-19, especially college students urban areas individuals belonging to group from 16 25. Early detection among will help resolution related issues that may hurt one's career. Artificial Intelligence (AI), Machine Learning (ML), Deep (DL) enabled prediction status. Numerous studies been conducted using various approaches, but there still no agreement on how predict symptoms across groups. In current study, proposed DL, Long Short-Term Memory (LSTM), ML models, namely Support Vector (SVM), ADA Boost, Random Forest (RF), K-Nearest Neighbor (K-NN), Logistic Regression (LR), Multi-Layer Perceptron (MLP) are trained tested real-world dataset. DL LSTM model outperformed conventional models with an accuracy 100%.

Language: Английский

Citations

5
The Effects of Physical Activity on the Social Adjustment of College Freshmen: A Chain-Mediated Theoretical Model of Cognitive Reappraisal and Psychological Resilience with Moderating Effects of Perceived Social Support DOI Open Access
Pengfei Li

Advances in Physical Education, Journal Year: 2025, Volume and Issue: 15(01), P. 49 - 67

Published: Jan. 1, 2025

This study explored how participating in physical activities influences the social adjustment of college freshmen, focusing on role perceived support and chain effects cognitive reappraisal psychological resilience. A survey was conducted with 1,061 freshmen from Zhejiang Province using five scales: Physical Activity Scale, Perceived Social Support Cognitive Reappraisal Psychological Resilience Adjustment Capacity Scale. The results showed that activity positively enhances adjustment, resilience serving as mediators. Additionally, found to strengthen this chain-mediated relationship. research provides new perspectives link between offers practical suggestions for improving education programs.

Language: Английский

Citations

0
Inter-relationships of depression and insomnia symptoms with life satisfaction in stroke and stroke-free older adults: Findings from the Health and Retirement Study based on network analysis and propensity score matching DOI
Pan Chen, Heli Sun, Ling Zhang

et al.

Journal of Affective Disorders, Journal Year: 2024, Volume and Issue: 356, P. 568 - 576

Published: April 11, 2024

Language: Английский

Citations

2
Stress, Burnout, and General Mental Health among Healthcare Workers in Poland during the Long-Lasting COVID-19 Pandemic DOI Open Access
Natalia Budzyńska,

Joanna M. Moryś

Healthcare, Journal Year: 2023, Volume and Issue: 11(19), P. 2617 - 2617

Published: Sept. 24, 2023

Medical professions are characterized by a great responsibility for human health and life; they also vulnerable to burnout. The outbreak of the COVID-19 pandemic has brought new challenges threats. This study aimed assess mental healthcare workers after year half working in conditions. Perceived Stress Scale (PSS-10), Link Burnout Questionnaire (LBQ), General Health (GHQ-28) were utilized this cross-sectional investigation. A total 335 employees from Polish hospitals (median age 44 years) filled out online questionnaires between 16 August 2021 30 March 2022. Most sample was female (86%). In study, 40.0% surveyed reported high stress intensity. 9.6% workers, most frequently experienced symptom psychophysical exhaustion. Almost (49.6%) disorders at both physiological levels. Interestingly, ward did not significantly differentiate any evaluated variables: PSS-10 (gr. F = 1.21; gr. B 0.71; p > 0.05), LBQ 1.89, 0.94, 1.08, 2.57; 0.32, 1.14, 0.77, 0.36; GHQ-28 0.85, 0.52, 0.57, 0.31; 0.31, 0.06, 0.54; 0.05). Furthermore, there no statistically significant differences compared occupational groups workers: (F 1.08; 0.05) 1.78; 0.85; 0.62; is alarming, conditions can affect quality work relations with patients. Psychological care workplaces workshops that build resources dealing difficult situations necessary.

Language: Английский

Citations

6
The chain mediating effects of resilience and perceived social support in the relationship between perceived stress and depression in patients with COVID-19 DOI Creative Commons
Lingling Wang,

Jing Yu,

Xuqian Diao

et al.

Frontiers in Psychology, Journal Year: 2024, Volume and Issue: 15

Published: Aug. 29, 2024

Introduction Perceived stress and depression were indirect effects of the COVID-19 pandemic, especially in square-cabin hospitals. It was paramount to understand their mediating effects, which might detonate factors that led mental illness. Materials methods We conducted a cross-sectional study investigate perceived depressive symptoms among patients with Shanghai hospitals from April 18 May 19, 2022. The questionnaire included Stress Scale 10, Patient Health Questionnaire 9, Social Support Scale, Connor-Davidson Resilience 10. Results This investigated chain-mediating roles social support resilience relationship between depression. positively predicted ( r = 0.613, p < 0.01), negatively correlated −0.318, 0.01) −0.398, 0.01). In chain model, had significant direct predictive on depression, through and/or resilience. Conclusion showed higher associated lower patients, lead mild highlights importance reducing symptoms.

Language: Английский

Citations

1
Prevalence of depression and its association with quality of life among guardians of hospitalized psychiatric patients during the COVID-19 pandemic: a network perspective DOI Creative Commons
Yan-Jie Zhao, Ling Zhang, Yuan Feng

et al.

Frontiers in Psychiatry, Journal Year: 2023, Volume and Issue: 14

Published: May 12, 2023

The COVID-19 pandemic has greatly affected treatment-seeking behaviors of psychiatric patients and their guardians. Barriers to access mental health services may contribute adverse consequences, not only for patients, but also This study explored the prevalence depression its association with quality life among guardians hospitalized during pandemic.This multi-center, cross-sectional was conducted in China. Symptoms anxiety, fatigue level (QOL) were measured validated Chinese versions Patient Health Questionnaire - 9 (PHQ-9), Generalized Anxiety Disorder Scale 7 (GAD-7), numeric rating scale (FNRS), first two items World Organization Quality Life brief version (WHOQOL-BREF), respectively. Independent correlates evaluated using multiple logistic regression analysis. Analysis covariance (ANCOVA) used compare global QOL depressed versus non-depressed network structure depressive symptoms constructed an extended Bayesian Information Criterion (EBIC) model.The 32.4% (95% CI: 29.7-35.2%). GAD-7 total scores (OR = 1.9, 95% 1.8-2.1) 1.2, 1.1-1.4) positively correlated After controlling significant depression, had lower than peers did [F(1, 1,101) 29.24, p < 0.001]. "Loss energy" (item 4 PHQ-9), "concentration difficulties" PHQ-9) "sad mood" 2 most central model guardians.About one third reported pandemic. Poorer related having this sample. In light emergence as key symptoms, "loss energy," problems," are potentially useful targets designed support caregivers patients.

Language: Английский

Citations

2
A comparison of psychiatric symptoms between mental health professionals with and without post-infection sequelae of COVID-19 DOI
Pan Chen, Heli Sun,

D J Li

et al.

Psychiatry Research, Journal Year: 2023, Volume and Issue: 331, P. 115631 - 115631

Published: Nov. 30, 2023

Language: Английский

Citations

1
Analysis of Mental Health of a Young Adult: Post Covid Using Fuzzy TOPSIS & Fuzzy AHP DOI

Chandana Uttarkar,

Chalana B Arun,

M. Anusha

et al.

Published: Oct. 6, 2023

An individual's health has greatly been affected by the COVID-19 outbreak, including their physical, emotional, and financial well-being. This report is mainly focused on mental well-being of young adult. The human population might not be equally COVID-19's effects health, particularly adults who most vulnerable group. We looked at status after pandemic. A comprehensive assessment data from Google Scholar, Elsevier, Springer, other websites was carried out to determine adverse repercussions adolescents' Studies that reviewed impact epidemic its causes adults' had meet a few criteria included. Numerous individuals, especially adults, have shown evidence post-traumatic stress disorder, anxiety, or despair additional psychological anguish. Due these efficiency life quality in an individual decreased. In this study, we considered variety factors, methods used gather data, comparison after, during before pandemic analysis based various regions, coping mechanisms, overall health. According analysis, there destructive effect attention must paid issue for improvement one's life.

Language: Английский

Citations

1
A Comprehensive Study on Healthcare Datasets Using AI Techniques DOI Open Access
Sunit Mistry, Lili Wang, Yousuf Islam

et al.

Electronics, Journal Year: 2022, Volume and Issue: 11(19), P. 3146 - 3146

Published: Sept. 30, 2022

Due to greater accessibility, healthcare databases have grown over the years. In this paper, we practice locating and associating data points or observations that pertain similar entities across several datasets in public healthcare. Based on methods proposed study, all sources are allocated using AI-based approaches consider non-unique features calculate similarity indices. Critical components discussed include accuracy assessment, blocking criteria, linkage processes. Accurate measurements develop for manually evaluating validating matched pairs purify connecting parameters boost process efficacy. This study aims assess raise standard of aid doctors’ comprehension patients’ physical characteristics by NARX detect errors machine learning models decision-making process. Consequently, our findings mortality rate patients with COVID-19 revealed a gender bias: female 15.91% male 22.73%. We also found bias mild symptoms such as shortness breath: 31.82% 32.87%. With congestive heart disease symptoms, was follows: 5.07% 7.58%. Finally, typical overall both males females 13.2%.

Language: Английский

Citations

1