MISDP: multi-task fusion visit interval for sequential diagnosis prediction.

Journal: BMC bioinformatics
Published Date: Dec 20, 2024

Abstract

BACKGROUNDS: Diagnostic prediction is a central application that spans various medical specialties and scenarios, sequential diagnosis prediction is the process of predicting future diagnoses based on patients' historical visits. Prior research has underexplored the impact of irregular intervals between patient visits on predictive models, despite its significance.

Authors

  • Shengrong Zhu
    Department of Information Management and Big Data Center, Peking University Third Hospital, Beijing, 100191, China.
  • Ruijia Yang
    School of Information Science and Technology, Beijing Forestry University, Beijing, 100083, China.
  • Zifeng Pan
    School of Information Science and Technology, Beijing Forestry University, Beijing, 100083, China.
  • Xuan Tian
    Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Hong Ji

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