Artificial intelligence for the remote evaluation of gestational diabetes using a smartphone application (Sinedie[Copy]): Study design.

Lara Albert Fabregas; David Subias; Laia Casamitjana Espuña; Isabel Mazarico; Estefanía Caballero-Ruiz; Gema García-Sáez; Pablo Martín-Redondo; M. Elena Hernando; Maria Mercedes Rigla Cros

doi:10.1530/endoabs.63.p527

Artificial intelligence for the remote evaluation of gestational diabetes using a smartphone application (Sinedie[Copy]): Study design.

Lara Albert Fabregas, David Subias, Laia Casamitjana Espuña, Isabel Mazarico, Estefanía Caballero-Ruiz, Gema García-Sáez, Pablo Martín-Redondo, M. Elena Hernando, Maria Mercedes Rigla Cros

Department of Medicine

Research output: Contribution to journal › Article › Research › peer-review

Original language	English
Journal	Endocrine Abstracts
DOIs	https://doi.org/10.1530/endoabs.63.p527
Publication status	Published - 1 May 2019

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10.1530/endoabs.63.p527

Cite this

Albert Fabregas, L., Subias, D., Casamitjana Espuña, L., Mazarico, I., Caballero-Ruiz, E., García-Sáez, G., Martín-Redondo, P., Hernando, M. E., & Rigla Cros, M. M. (2019). Artificial intelligence for the remote evaluation of gestational diabetes using a smartphone application (Sinedie[Copy]): Study design. Endocrine Abstracts. https://doi.org/10.1530/endoabs.63.p527

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AU - Albert Fabregas, Lara

AU - Subias, David

AU - Casamitjana Espuña, Laia

AU - Mazarico, Isabel

AU - Caballero-Ruiz, Estefanía

AU - García-Sáez, Gema

AU - Martín-Redondo, Pablo

AU - Hernando, M. Elena

AU - Rigla Cros, Maria Mercedes

PY - 2019/5/1

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DO - 10.1530/endoabs.63.p527

M3 - Article

SN - 1479-6848

JO - Endocrine Abstracts

JF - Endocrine Abstracts

ER -