External Validation and Comparison of Statistical and Machine Learning–Based Models in Predicting Outcomes Following Out‐of‐Hospital Cardiac Arrest: A Multicenter Retrospective Analysis
In this external validation, both statistical and machine learning-based models demonstrated excellent and fair performance, respectively, in predicting neurological outcomes despite different model architectures. The predictive performance of all evaluated clinical scoring systems was not significantly influenced by the COVID-19 pandemic.
Authors
- Chih‐Hung Wang (ORCID: https://orcid.org/0000-0003-0802-7825)
- Joyce Tay (ORCID: https://orcid.org/0000-0002-3302-2746)
- Wen‐Jone Chen (ORCID: https://orcid.org/0000-0002-2098-5922)
- Cheng‐Yi Wu
- Chien‐Hua Huang (ORCID: https://orcid.org/0000-0003-2981-4537)
- Pei‐I Su (ORCID: https://orcid.org/0000-0002-5649-1684)
- Yao‐De Fang
- Tsung‐Chien Lu (ORCID: https://orcid.org/0000-0003-2729-7142)
- Meng‐Che Wu (ORCID: https://orcid.org/0000-0002-9584-3486)
- Ming‐Tai Cheng (ORCID: https://orcid.org/0000-0003-2781-340X)
- Chu‐Lin Tsai (ORCID: https://orcid.org/0000-0003-4639-1513)
- Chun‐Yen Huang (ORCID: https://orcid.org/0000-0002-3347-5956)
Institutions
- National Taiwan University (TW)
- Min Sheng General Hospital (TW)
- Far Eastern Memorial Hospital (TW)
- National Taiwan University Hospital (TW)
- National Yunlin University of Science and Technology (TW)
Publication Details
- Journal
- Journal of the American Heart Association
- Published
- 2024-10-11
- DOI
- https://doi.org/10.1161/jaha.124.037088
- Citations
- 8
- Primary Topic
- Cardiac Arrest and Resuscitation
- Type
- article
- Field-Weighted Citation Impact
- 5.53
Funders
- National Health Research Institutes
- National Taiwan University Hospital
- National Taiwan University
- National Science and Technology Council