Detecting the impact of subject characteristics on machine learning-based diagnostic applications.

Chaibub Neto, Elias; Pratap, Abhishek; Perumal, Thanneer M; Tummalacherla, Meghasyam; Snyder, Phil; Bot, Brian M; Trister, Andrew D; Friend, Stephen H; Mangravite, Lara; Omberg, Larsson

Chaibub Neto, Elias; Pratap, Abhishek; Perumal, Thanneer M; Tummalacherla, Meghasyam; Snyder, Phil; Bot, Brian M; Trister, Andrew D; Friend, Stephen H; Mangravite, Lara; Omberg, Larsson.

Afiliación

Chaibub Neto E; 1Sage Bionetworks, Seattle, USA.
Pratap A; 1Sage Bionetworks, Seattle, USA.
Perumal TM; 2Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, USA.
Tummalacherla M; 1Sage Bionetworks, Seattle, USA.
Snyder P; 1Sage Bionetworks, Seattle, USA.
Bot BM; 1Sage Bionetworks, Seattle, USA.
Trister AD; 1Sage Bionetworks, Seattle, USA.
Friend SH; 1Sage Bionetworks, Seattle, USA.
Mangravite L; 1Sage Bionetworks, Seattle, USA.
Omberg L; 4YouandMe, Seattle, USA.

NPJ Digit Med ; 2: 99, 2019.

Article en En | MEDLINE | ID: mdl-31633058

Palabras clave

Preclinical research; Statistics

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: NPJ Digit Med Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

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