A Comprehensive Review on Machine Learning in Healthcare Industry: Classification, Restrictions, Opportunities and Challenges

Recently, various sophisticated methods, including machine learning and artificial intelligence, have been employed to examine health-related data. Medical professionals are acquiring enhanced diagnostic and treatment abilities by utilizing machine learning applications in the healthcare domain. Med...

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Vydáno v:	Sensors (Basel, Switzerland) Ročník 23; číslo 9; s. 4178
Hlavní autoři:	An, Qi, Rahman, Saifur, Zhou, Jingwen, Kang, James Jin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 22.04.2023 MDPI
Témata:	Accuracy Algorithms Analysis Artificial Intelligence Classification Clinical decision making Computational linguistics Data analysis Data mining Datasets Discriminant analysis Disease Efficiency Electronic health records Epidemiology Health care industry Health care reform Health Care Sector healthcare Language processing Machine Learning machine learning algorithms Medical advice systems Medical care Medical diagnosis Medical research Medicine, Experimental mobile health Natural language interfaces Neural networks Pattern recognition Public health Quality management Review supervised learning Telemedicine Unsupervised Machine Learning Germany unsupervised machine learning mobile health machine learning machine learning algorithms supervised learning healthcare
ISSN:	1424-8220, 1424-8220
On-line přístup:	Získat plný text
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