An explainable machine learning model for predicting in‐hospital amputation rate of patients with diabetic foot ulcer
2021 · International Wound Journal · 86 citations
https://doi.org/10.1111/iwj.13691
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Puguang Xie
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9
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6
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Puguang Xie is an academic researcher from Army Medical University. The author has contributed to research in topics: Machine Learning in Healthcare & Diabetic Foot Ulcer Assessment and Management & Acute Myocardial Infarction Research. The author has an h-index of 9, co-authored 16 publications.
ORCID: 0000-0002-6380-7472Papers by this author
worksThe amputation and mortality of inpatients with diabetic foot ulceration in the <scp>COVID</scp>‐19 pandemic and <scp>postpandemic</scp> era: A machine learning study
2021 · International Wound Journal · 43 citations
https://doi.org/10.1111/iwj.13723
Time in range in relation to amputation and all‐cause mortality in hospitalised patients with diabetic foot ulcers
2021 · Diabetes/Metabolism Research and Reviews · 26 citations
https://doi.org/10.1002/dmrr.3498
Mortality prediction in patients with hyperglycaemic crisis using explainable machine learning: a prospective, multicentre study based on tertiary hospitals
2023 · Diabetology & Metabolic Syndrome · 11 citations
https://doi.org/10.1186/s13098-023-01020-1
Development and Validation of an Explainable Deep Learning Model to Predict In-Hospital Mortality for Patients With Acute Myocardial Infarction: Algorithm Development and Validation Study
2024 · Journal of Medical Internet Research · 9 citations
https://doi.org/10.2196/49848
Comparison of bacterial species and clinical outcomes in patients with diabetic hand infection in tropical and nontropical regions
2024 · Archives of Dermatological Research · 3 citations
https://doi.org/10.1007/s00403-024-02856-x
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