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Yuzhan Jin

Online interpretable dynamic prediction models for clinically significant posthepatectomy liver failure based on machine learning algorithms: a retrospective cohort study
2024 · Yuzhan Jin, Wanxia Li, et al. · International Journal of Surgery · 13
Application of machine learning in depression risk prediction for connective tissue diseases
2025 · Leilei Yang, Yuzhan Jin, et al. · Scientific Reports · 11
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A convenient machine learning model to predict full stomach and evaluate the safety and comfort improvements of preoperative oral carbohydrate in patients undergoing elective painless gastrointestinal endoscopy
2023 · Yuzhan Jin, Mingtao Ma, et al. · Annals of Medicine · 9
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Accurately predicting the risk of unfavorable outcomes after endovascular coil therapy in patients with aneurysmal subarachnoid hemorrhage: an interpretable machine learning model
2023 · Zhou Zhou, Anran Dai, et al. · Neurological Sciences · 8
Development and validation of a novel nomogram model to assess the risk of gastric contents in outpatients undergoing elective sedative gastrointestinal endoscopy procedures
2023 · Yuqing Yan, Yuzhan Jin, et al. · Clinics and Research in Hepatology and Gastroenterology · 3
An accurate predictive model for depressive symptoms in patients with primary Sjögren's disease based on machine learning algorithms
2025 · Leilei Yang, Yulan Tong, et al. · Clinical and Experimental Rheumatology · 1
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Works count: 7
Citation count: 45
H-index: 4
I10-index: 2
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