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Scientific Reports|January 11, 2025
Application of machine learning in depression risk prediction for connective tissue diseasesLeilei Yang, Yuzhan Jin, Wei Lu, et al.
Clinics and Research in Hepatology and Gastroenterology|December 30, 2023
Development and validation of a novel nomogram model to assess the risk of gastric contents in outpatients undergoing elective sedative gastrointestinal endoscopy proceduresYuqing Yan, Yuzhan Jin, Yuanyuan Cao, et al.
Clinical and Experimental Rheumatology|December 2, 2025
An accurate predictive model for depressive symptoms in patients with primary Sjögren's disease based on machine learning algorithmsLeilei Yang, Yulan Tong, Yuzhan Jin, et al.
International Journal of Surgery (London, England)|June 18, 2024
Online interpretable dynamic prediction models for clinically significant posthepatectomy liver failure based on machine learning algorithms: a retrospective cohort studyYuzhan Jin, Wanxia Li, Yachen Wu, et al.
Postgraduate Medicine|March 22, 2024
A machine learning stacking model accurately estimating gastric fluid volume in patients undergoing elective sedated gastrointestinal endoscopyYuqing Yan, Yuzhan Jin, Yaoyi Guo, et al.
Neurological Sciences : Official Journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology|August 25, 2023
Accurately predicting the risk of unfavorable outcomes after endovascular coil therapy in patients with aneurysmal subarachnoid hemorrhage: an interpretable machine learning modelZhou Zhou, Anran Dai, Yuqing Yan, et al.
Annals of Medicine|December 18, 2023
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 endoscopyYuzhan Jin, Mingtao Ma, Yuqing Yan, et al.
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