Výsledky vyhledávání - "Morel, Maryan"

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SCALPEL3: a scalable open-source library for healthcare claims databases

Autor: Bacry, Emmanuel, Gaïffas, Stéphane, Leroy, Fanny, Morel, Maryan, Nguyen, Dinh Phong, Sebiat, Youcef, Sun, Dian

This article introduces SCALPEL3, a scalable open-source framework for studies involving Large Observational Databases (LODs). Its design eases medical observational studies thanks to abstractions allowing concept extraction, high-level cohort manipu

Externí odkaz: http://arxiv.org/abs/1910.07045

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ConvSCCS: convolutional self-controlled case series model for lagged adverse event detection

Autor: Morel, Maryan, Bacry, Emmanuel, Gaïffas, Stéphane, Guilloux, Agathe, Leroy, Fanny

With the increased availability of large databases of electronic health records (EHRs) comes the chance of enhancing health risks screening. Most post-marketing detections of adverse drug reaction (ADR) rely on physicians' spontaneous reports, leadin

Externí odkaz: http://arxiv.org/abs/1712.08243

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Akademický článek

SCALPEL3: A scalable open-source library for healthcare claims databases

Autor: Bacry, Emmanuel, Gaïffas, Stéphane, Leroy, Fanny, Morel, Maryan ^*, Nguyen, Dinh-Phong, Sebiat, Youcef, Sun, Dian

Publikováno v: In International Journal of Medical Informatics September 2020 141

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Screening anxiolytics, hypnotics, antidepressants and neuroleptics for bone fracture risk among elderly: a nation-wide dynamic multivariate self-control study using the SNDS claims database

Autor: Morel, Maryan, Bouyer, Benjamin, Guilloux, Agathe, LAANANI, Moussa, Leroy, Fanny, Nguyen, Dinh Phong, Sebiat, Youcef, Bacry, Emmanuel, Gaïffas, Stéphane

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bcde460745d7b5bc481cc9375477e6e0
https://hal.archives-ouvertes.fr/hal-03438806/document

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Machine learning for large observational datasets in healthcare

Autor: Morel, Maryan

Publikováno v: Machine Learning [stat.ML]. Institut Polytechnique de Paris, 2021. English. ⟨NNT : 2021IPPAX013⟩

This thesis develops innovative tools and methods to leverage large observational databases (LODs) in healthcare, with a focus on the Système National des Données de Santé (SNDS), one of the largest healthcare claims database.These databases recor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a73aeea13d0b5a2fa8cf39c7c894c431
https://theses.hal.science/tel-03501555

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Akademický článek

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