Article Title,Year,Volume,Issue,Page Range,Author
Prevalence and risk factors of workplace violence against healthcare workers in Bangladesh and its consequences: a nationwide cross-sectional study,2023,41,,e101335,Rony
Predicting the depression in university students using stacking ensemble techniques over oversampling method,2023,41,,e101295,Daza Vergaray
Proposing an initial model for the heuristic evaluation of mHealth applications,2023,41,,e101322,Khajouei
A systematic literature review and analysis of deep learning algorithms in mental disorders,2023,40,,e101284,Hemmat
Using best performance machine learning algorithm to predict child death before celebrating their fifth birthday,2023,40,,e101298,Workie Demsash
Identifying the predictors of severe psychological distress by auto-machine learning methods,2023,39,,e101258,Shia
An ontology for very large numbers of longitudinal health records to facilitate data mining and machine learning,2023,38,,e101204,Robson
Development and external validation of automated ICD-10 coding from discharge summaries using deep learning approaches,2023,38,,e101227,Attia
Identification of drug and protein-protein interaction network among stress and depression: a bioinformatics approach,2023,37,,e101174,Basar
Considering non-hospital data in clinical informatics use cases a review of the National Emergency Medical Services Information System (NEMSIS),2022,35,,e101129,Williams
Association rule mining of real-world data: uncovering links between race glycemic control lipid profiles and suicide attempts in individuals with diabetes,2023,42,,e101345,Khan
Exploring named entity recognition and relation extraction for ontology and medical records integration,2023,43,,e101381,Vieira
Systematic review of machine learning techniques to predict anxiety and stress in college students,2023,43,,e101391,Daza