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Artificial Intelligence, Machine learning and Reasoning in Health Informatics – Case Studies

Publication Type:

Book chapter

Venue:

Signal Processing Techniques for Computational Health Informatics


Abstract

To apply Artificial Intelligence (AI), Machine Learning (ML) and Ma-chine Reasoning (MR) in health informatics are often challenging as they comprise with multivariate information coming from heterogene-ous 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 dis-cussed 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, mod-els, results, limitations are discussed with future wishes.

Bibtex

@incollection{Ahmed5750,
author = {Mobyen Uddin Ahmed and Shaibal Barua and Shahina Begum},
title = {Artificial Intelligence, Machine learning and Reasoning in Health Informatics – Case Studies},
month = {April},
year = {2020},
booktitle = {Signal Processing Techniques for Computational Health Informatics},
url = {http://www.es.mdh.se/publications/5750-}
}