Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Marta, Avalos"'
Autor:
Marta Avalos-Fernandez, Thibaud Alin, Clémence Métayer, Rodolphe Thiébaut, Raphaël Enaud, Laurence Delhaes
Publikováno v:
Respiratory Research, Vol 23, Iss 1, Pp 1-15 (2022)
Abstract Background While there seems to be a consensus that a decrease in gut microbiome diversity is related to a decline in health status, the associations between respiratory microbiome diversity and chronic lung disease remain a matter of debate
Externí odkaz:
https://doaj.org/article/3e2d2154f1d14382a6bede4fcc59c040
Autor:
Gabrielle Chenais, Cédric Gil-Jardiné, Hélène Touchais, Marta Avalos Fernandez, Benjamin Contrand, Eric Tellier, Xavier Combes, Loick Bourdois, Philippe Revel, Emmanuel Lagarde
Publikováno v:
JMIR AI, Vol 2, p e40843 (2023)
BackgroundPublic health surveillance relies on the collection of data, often in near-real time. Recent advances in natural language processing make it possible to envisage an automated system for extracting information from electronic health records.
Externí odkaz:
https://doaj.org/article/88cf9fa9840c4629bb961e6f9dff3b9a
Autor:
Madelyn Yiseth Rojas Castro, Ludivine Orriols, Dunia Basha Sakr, Benjamin Contrand, Marion Dupuy, Marina Travanca, Catherine Sztal-Kutas, Marta Avalos, Emmanuel Lagarde
Publikováno v:
Injury Epidemiology, Vol 8, Iss 1, Pp 1-13 (2021)
Abstract Background Home and leisure injuries (HLIs) are a major public health problem. Cohort studies among general population are needed for targeted preventive actions but remain scarce. We quantify and qualify the HLIs collected prospectively in
Externí odkaz:
https://doaj.org/article/ecdc75384e57462a9b3256167e27bd97
Autor:
Madelyn Yiseth Rojas Castro, Ludivine Orriols, Benjamin Contrand, Marion Dupuy, Catherine Sztal-Kutas, Marta Avalos, Emmanuel Lagarde
Publikováno v:
PLoS ONE, Vol 16, Iss 3, p e0248162 (2021)
MAVIE is a web-based prospective cohort study of Home, Leisure, and Sports Injuries with a longitudinal follow-up of French general population volunteers. MAVIE participants are voluntary members of French households, including overseas territories.
Externí odkaz:
https://doaj.org/article/3bc127e81c3f44ae8aa2590470bda6ae
Publikováno v:
BMC Medical Research Methodology, Vol 18, Iss 1, Pp 1-13 (2018)
Abstract Background Biological assays for the quantification of markers may suffer from a lack of sensitivity and thus from an analytical detection limit. This is the case of human immunodeficiency virus (HIV) viral load. Below this threshold the exa
Externí odkaz:
https://doaj.org/article/47e534adfbc3475b9205ebfffda21129
Autor:
Philippe Hellard, Marta Avalos-Fernandes, Gaelle Lefort, Robin Pla, Inigo Mujika, Jean-François Toussaint, David B. Pyne
Publikováno v:
Frontiers in Physiology, Vol 10 (2019)
BackgroundThis study investigated the periodization of elite swimmers’ training over the 25 weeks preceding the major competition of the season.MethodsWe conducted a retrospective observational study of elite male (n = 60) and female (n = 67) swimm
Externí odkaz:
https://doaj.org/article/dea9447af1ac427897b2eae54e0d19d7
Publikováno v:
PLoS ONE, Vol 14, Iss 5, p e0217057 (2019)
Estimating and selecting risk factors with extremely low prevalences of exposure for a binary outcome is a challenge because classical standard techniques, markedly logistic regression, often fail to provide meaningful results in such settings. While
Externí odkaz:
https://doaj.org/article/a3cd2967d72643b4a27258ef1ea1cb48
Autor:
Bernard C Silenou, Marta Avalos, Catherine Helmer, Claudine Berr, Antoine Pariente, Helene Jacqmin-Gadda
Publikováno v:
PLoS ONE, Vol 14, Iss 1, p e0211118 (2019)
BACKGROUND:Studies using health administrative databases (HAD) may lead to biased results since information on potential confounders is often missing. Methods that integrate confounder data from cohort studies, such as multivariate imputation by chai
Externí odkaz:
https://doaj.org/article/f5247eb9aa094bb680202d7d70e3dbe5
Publikováno v:
The International FLAIRS Conference Proceedings. 36
Emergency departments (EDs) face significant challenges in providing timely care due to the increase in patient volume and limited resources. To improve patient flow management, new strategies based on artificial intelligence, machine learning, compu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd65dc70f9b8b60d44157ad22d5989b5
https://doi.org/10.32473/flairs.36.133276
https://doi.org/10.32473/flairs.36.133276
Autor:
Mélanie Née, Marta Avalos, Audrey Luxcey, Benjamin Contrand, Louis-Rachid Salmi, Annie Fourrier-Réglat, Blandine Gadegbeku, Emmanuel Lagarde, Ludivine Orriols
Publikováno v:
PLoS Medicine, Vol 14, Iss 7, p e1002347 (2017)
BackgroundWhile some medicinal drugs have been found to affect driving ability, no study has investigated whether a relationship exists between these medicines and crashes involving pedestrians. The aim of this study was to explore the association be
Externí odkaz:
https://doaj.org/article/7542d56761bb4cafaada40bbc3f023dd