Feature-ranking-based ensemble classifiers for survivability prediction of intensive care unit patients using lab test data

Feature-ranking-based ensemble classifiers for survivability prediction of intensive care unit patients using lab test data

Clinical decision support systems (CDSSs) have received increasing research attention in recent years because they can improve the quality, safety, efficiency, and effectiveness of healthcare. A CDSS combined with advanced data analytics is more accurate and efficient than traditional systems. In th...

Bibliografski detalji
Glavni autori:	Md. Zahangir Alam, Mohammad M. Masud, M. Saifur Rahman, Muhsin Cheratta, Muhammad Ali Nayeem, M. Sohel Rahman
Format:	Članak
Jezik:	English
Izdano:	Elsevier 2021-01-01
Serija:	Informatics in Medicine Unlocked
Teme:	ICU Patients Feature vector compaction Feature grouping Lab test data Clinical prediction Clustering
Online pristup:	http://www.sciencedirect.com/science/article/pii/S2352914820306468

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