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Predicting readmission rates in critically ill heart failure patients during a 90-day vulnerable phase using interpretable machine learning models
Meng-Han Jianga,b,1, Fang Yua,1, Hai-Ying Yanga,b,1, Sun-Jun Yina,1, Li-Juan Yanga,b, Yu Chenc, De-Min Lia,b, Yu Guoa, Jia-De Zhua,b, Wen-Ke Caid, Gong-Hao Hea,
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a Department of Clinical Pharmacy, The 920th Hospital of Joint Logistics Support Force, PLA, China
b College of Pharmacy, Dali University, Dali, China
c Department of Cardiology, The 920th Hospital of Joint Logistics Support Force, PLA, China
d Department of Cardiothoracic Surgery, The 920th Hospital of Joint Logistics Support Force, PLA, China
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ISSN: 18075932
Original language: English
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