Work

Bio-inspired computing and Machine learning analytics for a future-oriented mental well-being

Year: 2025

Type: article

Abstract: This special issue of SLAS Technology highlights bio-inspired computing and machine learning analytics for mental well-being in life sciences innovation. It highlights the emerging behavioral health technologies integrating big biological data, artificial intelligence, cloud/fog computing, machine learning, bio-inspired computation, the Internet of Medical Things, wireless technologies, security and privacy, semantic database, and content. The large volume of behavioral health data, often referred to as big data, requires innovative and scalable machine learning, deep learning, and intelligent algorithms to process it effectively.

Source: SLAS TECHNOLOGY

DOI: 10.1016/j.slast.2025.100316

Authors: Chinmay Chakraborty, Bhuvan Unhelkar, Saïd Mahmoudi

Institutions: KIIT University, University of South Florida, University of Mons

Language: English

Topic: Internet of Things and AI

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,070