Classification of imbalanced medical data: An empirical study of machine learning approaches

Thousands of patients around the world affecting their health with various factor as age, body mass index, cholesterol levels, albumin levels and several other factor. Prediction of health outcome due to these factors at a proper time can be served as an early warning. Recent growth in machine learn...

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Veröffentlicht in:	Journal of intelligent & fuzzy systems 2022-01, Vol.43 (2), p.1933-1946
Hauptverfasser:	Mundra, Shikha, Vijay, Shounak, Mundra, Ankit, Gupta, Punit, Goyal, Mayank Kumar, Kaur, Mandeep, Khaitan, Supriya, Rajpoot, Abha Kiran
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive sampling Albumins Algorithms Body size Cholesterol Classifiers Data reduction Datasets Empirical analysis Health care facilities Machine learning Oversampling Prediction models
Online-Zugang:	Volltext
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