Artificial intelligence, machine learning and reasoning in health informatics—case studies

• To apply Artificial Intelligence (AI), Machine Learning (ML) and Machine Reasoning (MR) in health informatics are often challenging as they comprise with multivariate information coming from heterogeneous sources e.g. sensor signals, text, etc. This book chapter presents the research development of AI, ML and MR as applications in health informatics. Five case studies on health informatics have been discussed and presented as (1) advanced Parkinson’s disease, (2) stress management, (3) postoperative pain treatment, (4) driver monitoring, and (5) remote health monitoring. Here, the challenges, solutions, models, results, limitations are discussed with future wishes.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)

Keyword

Advanced Parkinson’s disease

Artificial Intelligence (AI)

Case studies

Driver monitoring

Health informatics

Machine Learning (ML) and Machine Reasoning (MR)

Postoperative pain treatment

Remote health monitoring

Stress management

Publication and Content Type

ref (subject category)

kap (subject category)