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Minjie Duan

Predicting diabetic kidney disease for type 2 diabetes mellitus by machine learning in the real world: a multicenter retrospective study
2023 · Xiao zhu Liu, Minjie Duan, et al. · Frontiers in Endocrinology · 37
Interpretable machine learning for predicting 28-day all-cause in-hospital mortality for hypertensive ischemic or hemorrhagic stroke patients in the ICU: a multi-center retrospective cohort study with internal and external cross-validation
2023 · Jian Huang, Huaqiao Chen, et al. · Frontiers in Neurology · 32
Development and assessment of scoring model for ICU stay and mortality prediction after emergency admissions in ischemic heart disease: a retrospective study of MIMIC-IV databases
2023 · Tingting Shu, Jian Huang, et al. · Internal and Emergency Medicine · 21
Explainable machine learning for predicting 30-day readmission in acute heart failure patients
2024 · Yang Zhang, Tianyu Xiang, et al. · iScience · 17
Explainable machine learning models for predicting 30-day readmission in pediatric pulmonary hypertension: A multicenter, retrospective study
2022 · Minjie Duan, Tingting Shu, et al. · Frontiers in Cardiovascular Medicine · 14
Machine learning-based coronary heart disease diagnosis model for type 2 diabetes patients
2025 · Yingxi Chen, Chunyu Wang, et al. · Frontiers in Endocrinology · 10
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Development and external validation of an interpretable machine learning model for the prediction of intubation in the intensive care unit
2024 · Jianyuan Liu, Xiangjie Duan, et al. · Scientific Reports · 10
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Development of a prediction model for the risk of 30-day unplanned readmission in older patients with heart failure: A multicenter retrospective study
2023 · Yang Zhang, Haolin Wang, et al. · Nutrition Metabolism and Cardiovascular Diseases · 10
Risk Stratification Model for Predicting the Overall Survival of Elderly Triple-Negative Breast Cancer Patients: A Population-Based Study
2021 · Xiaozhu Liu, Song Yue, et al. · Frontiers in Medicine · 10
Prediction of Distant Metastasis of Renal Cell Carcinoma Based on Interpretable Machine Learning: A Multicenter Retrospective Study
2025 · Jinkai Dong, Minjie Duan, et al. · Journal of Multidisciplinary Healthcare · 5
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A novel web-based calculator to predict 30-day all-cause in-hospital mortality for 7,202 elderly patients with heart failure in ICUs: a multicenter retrospective cohort study in the United States
2023 · Zhongjian Wang, Jian Huang, et al. · Frontiers in Medicine · 5
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Multicenter validation and updating of the ELDER-ICU model for severity assessment in elderly critical illness
2026 · Minjie Duan, Xiaoli Liu, et al. · npj Digital Medicine · 2
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Predictive model for early fluid requirement in severe acute pancreatitis
2025 · Ayijiang Jiamaliding, Gaolei Sun, et al. · BMC Gastroenterology · 2
Effect of surgical treatment on patients with stage T3 or T4 triple-negative breast cancer: a SEER-based retrospective observational study
2023 · Jie Hu, Changling Dai, et al. · Frontiers in Endocrinology · 2
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Exploring a dynamic digital biomarker of illness severity in older ICU patients via interpretable time-series deep learning modeling
2026 · Zhenyue Gao, Yuqiang Wang, et al. · npj Digital Medicine
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Development and Validation of an Interpretable Machine Learning Model for the Prediction of Intubation in the Intensive Care Unit
2023 · Jianyuan Liu, Xiangjie Duan, et al. · Research Square
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Local tumor destruction and liver resection increase overall survival in intermediate/advanced hepatocellular carcinoma patients: evidence from a population-based study
2023 · Yang Zhang, Yi Zhang, et al. · Frontiers in Endocrinology
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Development of a machine learning-based nomogram for predicting one-year mortality in elderly patients with chronic obstructive pulmonary disease in intensive care unit
2022 · Xiaozhu Liu, Yang Zhang, et al. · Research Square
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Explainable Machine Learning Models for Predicting 30-Day Readmission in Pediatric Pulmonary Hypertension: A Retrospective Cohort Study
2022 · Minjie Duan, Tingting Shu, et al. · SSRN Electronic Journal
Works count: 20
Citation count: 175
H-index: 9
I10-index: 9
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