Dear Colleagues,

Data analysis has piqued the interest of academic researchers for decades. The number of scientific studies on user-generated data and social connections has increased exponentially during the COVID-19 lockdown. Deep learning and soft computing advancements have recently demonstrated significant improvements in health detection and analysis over social media data. According to existing research, 80% of users who suffer from a disease or attempt suicide disclose their complications and intentions on social media.

Shallow and deep learning are currently used to detect illness; however, recent research trends in graph neural networks, federated learning, multitask classification, multilingual mental health classification, and concept drift in streaming data have shown improvement in e-Health management. Many ethical issues and dataset concerns exist, necessitating the compilation of recent advances in mental health detection and analysis approaches and challenges.

This Special Issue examines human-computer interaction in healthcare using social media data. The purpose of this Special Issue is to provide a forum for the dissemination and discussion of recent advances in deep learning and computational intelligence techniques for healthcare. We want to give researchers and practitioners the opportunity to identify new promising research and review article directions in this area.Potential topics include but are not limited to the following:

• Feature extraction for illness detection

• Multi-class mental illness detection and analysis

• Multi-task health status detection

• Multimodal information extraction for health analysis

• Multi-channel mental health detection

• Shallow, deep and federated learning for mental illness detection

• Ethical issues for mental illness detection and analysis on social media

• Information fusion and feature harvesting from social media data

• Transformation model for mental illness detection on social media

• Concept drift in mental illness detection from streaming data

Dr. Vinit Kumar Gunjan and Dr. Ninni Singh

Guest Editors