Development and external validation of a machine learning model for predicting drug-induced immune thrombocytopenia in a real-world hospital cohort.

Journal: BMC medical informatics and decision making
Published Date: Jul 15, 2025

Abstract

BACKGROUND: Drug-induced immune thrombocytopenia (DITP) is a rare but potentially life-threatening adverse drug reaction, often underrecognized due to its nonspecific presentation and the lack of real-time diagnostic tools. Early identification of at-risk patients is critical to improving medication safety and preventing severe complications.

Authors

  • Hoang Van Dung
    Department of Internal Medicine, Hai Phong International Hospital, Hai Phong, 180000, Vietnam. dungnoitru26@gmail.com.
  • Vu Manh Tan
    Department of Internal Medicine, Hai Phong University of Medicine and Pharmacy, Hai Phong, 180000, Vietnam.
  • Nguyen Thi Dieu
    Department of Pharmacy, Hai Phong International Hospital-Vinh Bao, Hai Phong, 180000, Vietnam.
  • Pham Van Linh
    Department of Pathology and Immunology, Hai Phong University of Medicine and Pharmacy, Hai Phong, 180000, Vietnam.
  • Nguyen Van Khai
    Faculty of Public Health, Hai Phong University of Medicine and Pharmacy, Hai Phong, 180000, Vietnam.
  • Tran Thi Ngan
    University of Information and Communication Technology, Thai Nguyen, Vietnam.
  • Nguyen Thi Thu Phuong
    Faculty of Pharmacy & Biomedical-Pharmaceutical Sciences Research Group, Hai Phong University of Medicine and Pharmacy, Hai Phong, Vietnam.

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