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

Journal: Zhonghua wei zhong bing ji jiu yi xue
PMID: 39697021

Abstract

OBJECTIVE: To construct a non-invasive pre-hospital screening model and early based on artificial intelligence algorithms to provide the severity of stroke in patients, provide screening, guidance and early warning for stroke patients and their families, and provide data support for clinical decision-making.

Authors

  • Chenyu Liu
    Party and Government Office, the Second Affiliated Hospital of Dalian Medical University, Dalian 116027, Liaoning, China.
  • Ce Zhang
    Stanford University.
  • Yuanhui Chi
    Party and Government Office, the Second Affiliated Hospital of Dalian Medical University, Dalian 116027, Liaoning, China.
  • Chunye Ma
    Department of Neurology, the Second Affiliated Hospital of Dalian Medical University, Dalian 116027, Liaoning, China.
  • Lihong Zhang
    Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China.
  • Shuliang Chen
    Department of Nursing, the Second Affiliated Hospital of Dalian Medical University, Dalian 116027, Liaoning, China. Corresponding author: Chen Shuliang, Email: csliang1980@sina.com.

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