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    Exploring Mortality and Prognostic Factors of Heart Failure with In-Hospital and Emergency Patients by Electronic Medical Records: A Machine Learning Approach by Yu CS, Wu JL, Shih CM, Chiu KL, Chen YD, Chang TH

    Published 2025-01-01
    “…Cheng-Sheng Yu,1– 4,* Jenny L Wu,5,* Chun-Ming Shih,6– 8 Kuan-Lin Chiu,9 Yu-Da Chen,9,10 Tzu-Hao Chang5,11 1Graduate Institute of Data Science, College of Management, Taipei Medical University, New Taipei City, 235603, Taiwan; 2Clinical Data Center, Office of Data Science, Taipei Medical University, New Taipei City, 235603, Taiwan; 3Fintech Innovation Center, Nan Shan Life Insurance Co., Ltd., Taipei, 11049, Taiwan; 4Beyond Lab, Nan Shan Life Insurance Co., Ltd., Taipei, 11049, Taiwan; 5Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, New Taipei City, 235603, Taiwan; 6Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, 11031, Taiwan; 7Cardiovascular Research Center, Taipei Medical University Hospital, Taipei, 11031, Taiwan; 8Taipei Heart Institute, Taipei Medical University, Taipei, 11031, Taiwan; 9Department of Family Medicine, Taipei Medical University Hospital, Taipei, 11031, Taiwan; 10School of Medicine, College of Medicine, Taipei Medical University, Taipei, 11031, Taiwan; 11Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei, 11031, Taiwan*These authors contributed equally to this workCorrespondence: Tzu-Hao Chang; Yu-Da Chen, Email kevinchang@tmu.edu.tw; 153072@h.tmu.edu.twPurpose: As HF progresses into advanced HF, patients experience a poor quality of life, distressing symptoms, intensive care use, social distress, and eventual hospital death. …”
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