A new risk assessment model of venous thromboembolism by considering fuzzy population
The proposed model achieved higher sensitivity and specificity than the Padua model, and better robustness than traditional ML models. This study built a population-split-based ML model of VTE by modeling the class-imbalance problem and it can be applied more broadly in risk assessment of other diseases.
Authors
- Juhong Shi (ORCID: https://orcid.org/0000-0003-4918-2186)
- Yuqing Yang (ORCID: https://orcid.org/0000-0003-0409-2590)
- Xinyu Hong (ORCID: https://orcid.org/0000-0002-6441-9607)
- Xin Wang
- Ting Chen
- Sihua Liu (ORCID: https://orcid.org/0000-0002-9110-6235)
- Jianchu Li (ORCID: https://orcid.org/0000-0002-1529-1504)
Institutions
- Beijing University of Posts and Telecommunications (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2024-12-30
- DOI
- https://doi.org/10.1186/s12911-024-02834-3
- Citations
- 3
- Primary Topic
- Venous Thromboembolism Diagnosis and Management
- Type
- article
- Field-Weighted Citation Impact
- 1.65
Funders
- National Natural Science Foundation of China
- Peking Union Medical College Hospital
- Peking Union Medical College