[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.

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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
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article

[Construction and external validation of a non-invasive pre-hospital screening model for stroke patients: a study based on artificial intelligence DeepFM algorithm].

Shuliang Chen, Ce Zhang, Chunye Ma, Chenyu Liu et al.
PubMed
Acute Ischemic Stroke Management
article

[Construction and external validation of a non-invasive pre-hospital screening model for stroke patients: a study based on artificial intelligence DeepFM algorithm].

Shuliang Chen, Ce Zhang, Chunye Ma, Chenyu Liu, Lihong Zhang, Y. Chi
article en

Abstract

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.

PubMedVol. 36(11)
Dalian Medical University (CN), Second Affiliated Hospital of Dalian Medical University (CN), Dalian Municipal Central Hospital (CN)
Acute Ischemic Stroke Management
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[Construction and external validation of a non-invasive pre-hospital screening model for stroke patients: a study based on artificial intelligence DeepFM algorithm]. — Shuliang Chen, Ce Zhang, et al. · PubMed (2024) | TGRS Research Map | TGRS