Development and Validation of an Interpretable Conformal Predictor to Predict Sepsis Mortality Risk: Retrospective Cohort Study

• Ngā kaituhi matua: Meicheng Yang (Author), Hui Chen (Author), Wenhan Hu (Author), Massimo Mischi (Author), Caifeng Shan (Author), Jianqing Li (Author), Xi Long (Author), Chengyu Liu (Author)
• Hōputu: Pukapuka
• I whakaputaina: JMIR Publications, 2024-03-01T00:00:00Z.
• Ngā marau: article
• Urunga tuihono: Connect to this object online.

BackgroundEarly and reliable identification of patients with sepsis who are at high risk of mortality is important to improve clinical outcomes. However, 3 major barriers to artificial intelligence (AI) models, including the lack of interpretability, the difficulty in generalizability, and the risk...