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A structured analysis to study the role of machine learning and deep learning in the healthcare sector with big data analytics
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 …
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
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 …
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 …
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
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 …
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 …
suicide. Depression has a significant impact on language use. We target the early diagnosis …