Over- and Under-sampling Approach for Extremely Imbalanced and Small Minority Data Problem in Health Record Analysis

Over- and Under-sampling Approach for Extremely Imbalanced and Small Minority Data Problem in Health Record Analysis

A considerable amount of health record (HR) data has been stored due to recent advances in the digitalization of medical systems. However, it is not always easy to analyze HR data, particularly when the number of persons with a target disease is too small in comparison with the population. This situ...

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Bibliographic Details
Main Authors:	Koichi Fujiwara, Yukun Huang, Kentaro Hori, Kenichi Nishioji, Masao Kobayashi, Mai Kamaguchi, Manabu Kano
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2020-05-01
Series:	Frontiers in Public Health
Subjects:	health record analysis imbalanced data problem boosting over- and under-sampling stomach cancer detection
Online Access:	https://www.frontiersin.org/article/10.3389/fpubh.2020.00178/full

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