Machine learning strategies for multi-label pre-diagnosis of diseases with superficial data

The proposed framework exhibited its efficacy by performing well across various metrics and successfully accomplishing the established objectives, contributing insights to computer-aided diagnosis in the specific area of GP pre-diagnosis. Classifier chain-RF is recommended as an embedding approach.

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Publication Details

Journal
Computer Methods and Programs in Biomedicine
Published
2025-06-16
DOI
https://doi.org/10.1016/j.cmpb.2025.108911
Citations
1
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
2.48

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article

Machine learning strategies for multi-label pre-diagnosis of diseases with superficial data

Ziwei Liu, Xu Luo, Dengqun Gou
1 citations
Computer Methods and Programs in Biomedicine
Machine Learning in Healthcare
2.48
article

Machine learning strategies for multi-label pre-diagnosis of diseases with superficial data

Ziwei Liu, Xu Luo, Dengqun Gou
article en
1 citations

Abstract

The proposed framework exhibited its efficacy by performing well across various metrics and successfully accomplishing the established objectives, contributing insights to computer-aided diagnosis in the specific area of GP pre-diagnosis. Classifier chain-RF is recommended as an embedding approach.

Computer Methods and Programs in BiomedicineVol. 269
Zunyi Medical University (CN), First People’s Hospital of Zunyi (CN)
Health Commission of Guizhou Province, National Natural Science Foundation of China, Science and Technology Program of Guizhou Province
Openalex Percentile: Top 10%
Machine Learning in Healthcare
2.48
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