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Data Mining and Knowledge Discovery
Published in: Data Mining and Knowledge Discovery 4/2021

02-06-2021 | Guest Editorial

Guest editorial: Special issue on mining for health

Authors: Myra Spiliopoulou, Panagiotis Papapetrou

Published in: Data Mining and Knowledge Discovery | Issue 4/2021

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Excerpt

There is a proliferation of research on health related topics with data mining and machine learning playing a central role in such research, which is sometimes termed as “Medical AI”. Medical research and patient caretaking are increasingly benefiting from advances in machine learning. The penetration of smart technologies and the Internet of Things give a further boost to initiatives for patient self-management and empowerment: new forms of health-relevant data become available and require new data acquisition and analytics’ workflows. Efficient algorithms are developed and applied on health-related data, clearly motivated by the wish to promote medicine and healthcare, but with limited applicability and by making unrealistic assumptions about the needs of the people they have been designed for. On the other hand, concrete medical investigations or clinical support tasks are performed and demonstrated, but without an elaborate data mining or machine learning methodology. …
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Literature
Metadata
Title
Guest editorial: Special issue on mining for health
Authors
Myra Spiliopoulou
Panagiotis Papapetrou
Publication date
02-06-2021
Publisher
Springer US
Published in
Data Mining and Knowledge Discovery / Issue 4/2021
Print ISSN: 1384-5810
Electronic ISSN: 1573-756X
DOI
https://doi.org/10.1007/s10618-021-00767-3

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