Bio-inspired computing and Machine learning analytics for a future-oriented mental well-being
摘要截稿:
全文截稿: 2024-07-30
影响因子: 2.813
期刊难度:
CCF分类: 无
中科院JCR分区:
• 大类 : 医学 - 4区
• 小类 : 生化研究方法 - 4区
• 小类 : 分析化学 - 4区
Overview
The special issue proposes bio-inspired computing and machine learning analytics for mental well-being in the field of life sciences innovation. It justifies the need for this special issue by highlighting the emerging behavioral health technologies that integrate 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 scalable machine learning, deep learning, and intelligent algorithms to process it effectively. By intelligently investigating and collecting vast amounts of biological data, sensors can improve the decision-making process and facilitate early disease diagnosis. The ultimate goal is to revolutionize the delivery of biological services through a medical assistive environment and facilitate the independent living of patients.
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Topics
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Guest editors:
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Dr., Chinmay Chakraborty, Ph. DBirla Institute of Technology, Jharkhand, India.
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Dr., Bhuvan Unhelkar, Ph. DUniversity of South Florida, USA.
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Dr., Saïd Mahmoudi, Ph. DUniversity de Mons, Belgium.