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Zheng et al., 2024 - Google Patents

Interpretable machine learning for predicting chronic kidney disease progression risk

Zheng et al., 2024

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Document ID
6335838737170914582
Author
Zheng J
Li X
Zhu J
Guan S
Zhang S
Wang W
Publication year
Publication venue
Digital Health

External Links

Snippet

Objective Chronic kidney disease (CKD) poses a major global health burden. Early CKD risk prediction enables timely interventions, but conventional models have limited accuracy. Machine learning (ML) enhances prediction, but interpretability is needed to support clinical …
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    • G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345—Medical expert systems, neural networks or other automated diagnosis
    • G—PHYSICS
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