Assessment of menstrual health status and evolution through mobile apps for fertility awareness.

Symul, Laura; Wac, Katarzyna; Hillard, Paula; Salathé, Marcel

Symul, Laura; Wac, Katarzyna; Hillard, Paula; Salathé, Marcel.

Afiliación

Symul L; 1Department of Surgery, Stanford School of Medicine, Stanford University, 300 Pasteur Dr., Stanford, CA 94305-5317 USA.
Wac K; 2Digital Epidemiology Lab, Global Health Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Campus Biotech, Chemin des mines 9, 1202 Geneva, Switzerland.
Hillard P; 1Department of Surgery, Stanford School of Medicine, Stanford University, 300 Pasteur Dr., Stanford, CA 94305-5317 USA.
Salathé M; 3Quality of Life Technologies lab, Institute of Services Science, Center for Informatics, University of Geneva, CUI Battelle bat A, Route de Drize 7, 1227 Carouge, Switzerland.

NPJ Digit Med ; 2: 64, 2019.

Article en En | MEDLINE | ID: mdl-31341953

Palabras clave

Computational models; Epidemiology; Reproductive signs and symptoms

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Aspecto: Patient_preference Idioma: En Revista: NPJ Digit Med Año: 2019 Tipo del documento: Article

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