Disease classification via interpretable machine learning based on multi-center routine coagulation test

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Authors

Dong Feng · Peking University

Yaqiong Zhang · Taizhou Central Hospital

W.H. Chen · ShenZhen People’s Hospital

C. Wang · People's Hospital of Xinjiang Uygur Autonomous Region

Lei Zhang · Second Affiliated Hospital of Xi'an Jiaotong University

Xiaoling Gao · Hainan General Hospital

Xi Zhang

Abstract

Machine learning models based on multi-center coagulation tests provide effective and interpretable disease classification, supporting clinical diagnostic automation.

Topics & Keywords

Artificial Intelligence in Healthcare Imbalanced Data Classification Techniques Machine Learning in Healthcare

Publication Details

Published in: Frontiers in Molecular Biosciences

Volume 13, pp. 1788536-1788536

DOI: 10.3389/fmolb.2026.1788536

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Disease classification via interpretable machine learning based on multi-center routine coagulation test

Authors

Abstract

Topics & Keywords

Publication Details