A Catalogue of Machine Learning Algorithms for Healthcare Risk Predictions

Extracting useful knowledge from proper data analysis is a very challenging task for efficient and timely decision-making. To achieve this, there exist a plethora of machine learning (ML) algorithms, while, especially in healthcare, this complexity increases due to the domain’s requirements for anal...

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Vydáno v:	Sensors (Basel, Switzerland) Ročník 22; číslo 22; s. 8615
Hlavní autoři:	Mavrogiorgou, Argyro, Kiourtis, Athanasios, Kleftakis, Spyridon, Mavrogiorgos, Konstantinos, Zafeiropoulos, Nikolaos, Kyriazis, Dimosthenis
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 01.11.2022 MDPI
Témata:	Accident prevention Algorithms Artificial intelligence Bayes Theorem Breast cancer Cardiovascular disease catalogue Computational linguistics COVID-19 Data analysis Data mining Datasets Decision making Decision trees Delivery of Health Care Development and progression healthcare Heart Humans Information management Kidney diseases Language processing Machine Learning Medical research Medicine, Experimental Natural language interfaces Neural networks Patients prediction Route optimization Smart cities Stroke supervised learning Unmanned aerial vehicles prediction data analysis machine learning supervised learning catalogue healthcare
ISSN:	1424-8220, 1424-8220
On-line přístup:	Získat plný text
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