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Open AccessEditorial

eHealth and Artificial Intelligence

Department of Computer Science, University of Bari, 70125 Bari, Italy
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Author to whom correspondence should be addressed.
Information 2019, 10(3), 117; https://doi.org/10.3390/info10030117
Received: 18 March 2019 / Accepted: 18 March 2019 / Published: 19 March 2019
(This article belongs to the Special Issue eHealth and Artificial Intelligence)
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PDF [179 KB, uploaded 19 March 2019]

Abstract

Artificial intelligence is changing the healthcare industry from many perspectives: diagnosis, treatment, and follow-up. A wide range of techniques has been proposed in the literature. In this special issue, 13 selected and peer-reviewed original research articles contribute to the application of artificial intelligence (AI) approaches in various real-world problems. Papers refer to the following main areas of interest: feature selection, high dimensionality, and statistical approaches; heart and cardiovascular diseases; expert systems and e-health platforms. View Full-Text
Keywords: applications of AI in health care; knowledge; data mining and knowledge discovery in medicine; medical expert systems; personal medical feature data; medical device technologies; diagnoses and therapy support systems; machine learning-based medical systems; pattern recognition in medicine applications of AI in health care; knowledge; data mining and knowledge discovery in medicine; medical expert systems; personal medical feature data; medical device technologies; diagnoses and therapy support systems; machine learning-based medical systems; pattern recognition in medicine
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Impedovo, D.; Pirlo, G. eHealth and Artificial Intelligence. Information 2019, 10, 117.

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