Puguang Xie

Mortality prediction in patients with hyperglycaemic crisis using explainable machine learning: a prospective, multicentre study based on tertiary hospitals

Cheng Yang, Gangyi Yang, Liling Deng, 2023, Diabetology & Metabolic Syndrome.

An explainable machine learning model for predicting in‐hospital amputation rate of patients with diabetic foot ulcer

J. Boey, Chenzhen Du, Shunli Rui, 2021, International wound journal.

Time in range in relation to amputation and all‐cause mortality in hospitalised patients with diabetic foot ulcers

J. Boey, Chenzhen Du, Shunli Rui, 2021, Diabetes/metabolism research and reviews.

Impact of acute hyperglycemic crisis episode on survival in individuals with diabetic foot ulcer using a machine learning approach

Cheng Yang, Liling Deng, Shunli Rui, 2022, Frontiers in Endocrinology.

The amputation and mortality of inpatients with diabetic foot ulceration in the COVID‐19 pandemic and postpandemic era: A machine learning study

Chenzhen Du, Yu Ma, Xi Zhang, 2021, International wound journal.

The VDR/FFAR2 axis mitigates sepsis-induced lung injury by suppressing macrophage lipid peroxidation.

Shunli Rui, Puguang Xie, Yang Tao, 2024, International immunopharmacology.

Adverse events of tissue plasminogen activators in acute myocardial infarction patients: a real-world and pharmacovigilance database analysis

Puguang Xie, Fan Yang, Fan Xu, 2024, BMC cardiovascular disorders.