A structured analysis to study the role of machine learning and deep learning in the healthcare sector with big data analytics

J Kumari, E Kumar, D Kumar - Archives of Computational Methods in …, 2023 - Springer
Abstract Machine and deep learning are used worldwide. Machine Learning (ML) and Deep
Learning (DL) are playing an increasingly important role in the healthcare sector, particularly …

Toward explainable AI (XAI) for mental health detection based on language behavior

E Kerz, S Zanwar, Y Qiao, D Wiechmann - Frontiers in psychiatry, 2023 - frontiersin.org
Advances in artificial intelligence (AI) in general and Natural Language Processing (NLP) in
particular are paving the new way forward for the automated detection and prediction of …

WellXplain: Wellness concept extraction and classification in Reddit posts for mental health analysis

M Garg - Knowledge-Based Systems, 2024 - Elsevier
Amid the ongoing mental health crisis, there is an increasing need to discern possible signs
of mental disturbance manifested in social media text. During in-person therapy sessions …

An annotated dataset for explainable interpersonal risk factors of mental disturbance in social media posts

M Garg, A Shahbandegan, A Chadha… - arxiv preprint arxiv …, 2023 - arxiv.org
With a surge in identifying suicidal risk and its severity in social media posts, we argue that a
more consequential and explainable research is required for optimal impact on clinical …

Detecting depression using Hybrid models created using Google's BERT and Facebook's Fast Text Algorithms

T Saravanan, T Jhaideep… - 2022 2nd International …, 2022 - ieeexplore.ieee.org
Depression is the leading cause of worldwide disability and is also a leading cause of
suicide. Depression has a significant impact on language use. We target the early diagnosis …