[Construction and external validation of a non-invasive pre-hospital screening model for stroke patients: a study based on artificial intelligence DeepFM algorithm].
The pre-hospital non-invasive screening prediction model based on DeepFM can accurately predict the severity grading of stroke patients, and has potential application value in rapid screening and early clinical decision-making of stroke.
Authors
- Shuliang Chen (ORCID: https://orcid.org/0000-0002-7175-7604)
- Ce Zhang (ORCID: https://orcid.org/0000-0001-7350-4187)
- Chunye Ma
- Chenyu Liu (ORCID: https://orcid.org/0000-0002-3654-1824)
- Lihong Zhang (ORCID: https://orcid.org/0000-0001-5680-9202)
- Y. Chi (ORCID: https://orcid.org/0009-0000-5915-9022)
Institutions
- Dalian Medical University (CN)
- Second Affiliated Hospital of Dalian Medical University (CN)
- Dalian Municipal Central Hospital (CN)
Publication Details
- Journal
- PubMed
- Published
- 2024-11-01
- DOI
- https://doi.org/10.3760/cma.j.cn121430-20240526-00461
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article