Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using a Machine Learning Algorithm.

Maharjan, Jenish; Ektefaie, Yasha; Ryan, Logan; Mataraso, Samson; Barnes, Gina; Shokouhi, Sepideh; Green-Saxena, Abigail; Calvert, Jacob; Mao, Qingqing; Das, Ritankar

Maharjan, Jenish; Ektefaie, Yasha; Ryan, Logan; Mataraso, Samson; Barnes, Gina; Shokouhi, Sepideh; Green-Saxena, Abigail; Calvert, Jacob; Mao, Qingqing; Das, Ritankar.

Afiliación

Maharjan J; Dascena, Inc., Houston, TX, United States.
Ektefaie Y; Dascena, Inc., Houston, TX, United States.
Ryan L; Dascena, Inc., Houston, TX, United States.
Mataraso S; Dascena, Inc., Houston, TX, United States.
Barnes G; Dascena, Inc., Houston, TX, United States.
Shokouhi S; Dascena, Inc., Houston, TX, United States.
Green-Saxena A; Dascena, Inc., Houston, TX, United States.
Calvert J; Dascena, Inc., Houston, TX, United States.
Mao Q; Dascena, Inc., Houston, TX, United States.
Das R; Dascena, Inc., Houston, TX, United States.

Front Neurol ; 12: 784250, 2021.

Article en En | MEDLINE | ID: mdl-35145468

Palabras clave

anticoagulant therapy; artificial intelligence; clinical trial; machine learning; stroke prediction

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Neurol Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza

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