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

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Abstract

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.

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Ahmed, M. U., Barua, S., & Begum, S. (2021). Artificial intelligence, machine learning and reasoning in health informatics—case studies. In Intelligent Systems Reference Library (Vol. 192, pp. 261–291). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-54932-9_12

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