This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1407) Machine Learning (1465) Decision Support for Health Professionals (1186) Intensive Care Unit (ICU) (112) Artificial Intelligence (1371)

Published on in Vol 23, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27118, first published .
A Clinical Prediction Model to Predict Heparin Treatment Outcomes and Provide Dosage Recommendations: Development and Validation Study

A Clinical Prediction Model to Predict Heparin Treatment Outcomes and Provide Dosage Recommendations: Development and Validation Study

A Clinical Prediction Model to Predict Heparin Treatment Outcomes and Provide Dosage Recommendations: Development and Validation Study

Authors of this article:

Dongkai Li1 Author Orcid Image ;   Jianwei Gao2 Author Orcid Image ;   Na Hong2 Author Orcid Image ;   Hao Wang1 Author Orcid Image ;   Longxiang Su1 Author Orcid Image ;   Chun Liu2 Author Orcid Image ;   Jie He2 Author Orcid Image ;   Huizhen Jiang3 Author Orcid Image ;   Qiang Wang2 Author Orcid Image ;   Yun Long1 Author Orcid Image ;   Weiguo Zhu3, 4 Author Orcid Image
Article Authors Cited by (8) Tweetations (1) Metrics

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  6. Nassiri K, Akhloufi M. Recent Advances in Large Language Models for Healthcare. BioMedInformatics 2024;4(2):1097 View
  7. Wang Y, Gao Z, Zhang Y, Lu Z, Sun F. Early sepsis mortality prediction model based on interpretable machine learning approach: development and validation study. Internal and Emergency Medicine 2024 View
  8. Liu S, Su L, Jiang H, Wei Z, Yang B, Xie J, Guo A, He H, Zhu W, Long Y. Full connected layer model with self-attention to hourly predict heparin dosage for perioperative cardiac surgery patients. Computers in Biology and Medicine 2024;182:109085 View