A Novel Ensemble Learning Paradigm for Medical Diagnosis With Imbalanced Data

A Novel Ensemble Learning Paradigm for Medical Diagnosis With Imbalanced Data

With the help of machine learning (ML) techniques, the possible errors made by the pathologists and physicians, such as those caused by inexperience, fatigue, stress and so on can be avoided, and the medical data can be examined in a shorter time and in a more detailed manner. However, while the con...

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Bibliographic Details
Main Authors: Na Liu, Xiaomei Li, Ershi Qi, Man Xu, Ling Li, Bo Gao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Support vector machine
imbalanced data
ensemble learning
medical diagnosis
Online Access:https://ieeexplore.ieee.org/document/9159642/

Internet

https://ieeexplore.ieee.org/document/9159642/

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