Resource-efficient fast prediction in healthcare data analytics: A pruned Random Forest regression approach

In predictive healthcare data analytics, high accuracy is both vital and paramount as low accuracy can lead to misdiagnosis, which is known to cause serious health consequences or death. Fast prediction is also considered an important desideratum particularly for machines and mobile devices with lim...

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Veröffentlicht in:	Computing 2020-05, Vol.102 (5), p.1187-1198
Hauptverfasser:	Fawagreh, Khaled, Gaber, Mohamed Medhat
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Artificial Intelligence Computer Appl. in Administrative Data Processing Computer Communication Networks Computer Science Data analysis Electronic devices Health care Information Systems Applications (incl.Internet) Mathematical analysis Memory devices Regression analysis Software Engineering
Online-Zugang:	Volltext
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