Zobrazeno 1 - 10
of 459
pro vyhledávání: '"Jean-Arthur MICOULAUD FRANCHI"'
Publikováno v:
Clocks & Sleep, Vol 6, Iss 2, Pp 246-254 (2024)
Healthcare workers often have irregular work schedules and experience significant stress, which can lead to poor sleep quality and frequent mental health issues, especially in the context of the COVID-19 pandemic. In this cross-sectional study, we ai
Externí odkaz:
https://doaj.org/article/808ae87cfcc94d528dbb27ed4a70fb89
Publikováno v:
JMIR Public Health and Surveillance, Vol 10, p e51585 (2024)
BackgroundSleep health is a multidimensional construct that includes objective and subjective parameters and is influenced by individual sleep-related behaviors and sleep disorders. Symptom network analysis allows modeling of the interactions between
Externí odkaz:
https://doaj.org/article/bcab4c2277034ebf9b377c366dd1ab42
Autor:
Julien Coelho, Marc Rey, Annabelle Labonne, Ana Adan, Jacques Taillard, Pierre-Alexis Geoffroy, Didier Cugy, Alexandre Dakar, Pierre Philip, Isabelle Poirot, Sylvie Royant-Parola, Sarah Hartley, Marie-Françoise Vecchierini, Jean-Arthur Micoulaud-Franchi
Publikováno v:
Frontiers in Public Health, Vol 11 (2024)
BackgroundThe Sleep Beliefs Scale (SBS) is a well-known tool to design and monitor personalized sleep health promotion at an individual and population level. The lack of an established French version limits the development of effective interventions
Externí odkaz:
https://doaj.org/article/67c88392693d4fa5a0d8a014edd2036d
Autor:
Thibaut Gentina, Elodie Gentina, Bernard Douay, Jean-Arthur Micoulaud-Franchi, Jean-Louis Pépin, Sébastien Bailly
Publikováno v:
Frontiers in Neurology, Vol 14 (2023)
Study objectivesThe prospective Self-Efficacy Measure for Sleep Apnea study (SEMSAS) is investigating thresholds for health literacy, self-efficacy and precariousness at obstructive sleep apnea (OSA) diagnosis to predict CPAP adherence. This paper de
Externí odkaz:
https://doaj.org/article/8952733cdf164a4d93dd1775c2af7009
Autor:
Vecchierini, M.-F.
Publikováno v:
In Médecine du Sommeil December 2019 16(4):271-272
Publikováno v:
Journal of Medical Internet Research, Vol 24, Iss 6, p e32912 (2022)
BackgroundSocial media provide a window onto the circulation of ideas in everyday folk psychiatry, revealing the themes and issues discussed both by the public and by various scientific communities. ObjectiveThis study explores the trends in health
Externí odkaz:
https://doaj.org/article/600fc5d6e7f54ed49f227073e8024a4a
Publikováno v:
Frontiers in Psychiatry, Vol 13 (2022)
Externí odkaz:
https://doaj.org/article/59877731de384477a7d366e402ab078c
Autor:
Vincent P. Martin, Jean-Luc Rouas, Pierre Philip, Pierre Fourneret, Jean-Arthur Micoulaud-Franchi, Christophe Gauld
Publikováno v:
Frontiers in Psychiatry, Vol 13 (2022)
In order to create a dynamic for the psychiatry of the future, bringing together digital technology and clinical practice, we propose in this paper a cross-teaching translational roadmap comparing clinical reasoning with computational reasoning. Base
Externí odkaz:
https://doaj.org/article/0c0442354ae34c9a9ce5529547a5bc0b
Autor:
Pierre Philip, Lucile Dupuy, Marc Auriacombe, Fushia Serre, Etienne de Sevin, Alain Sauteraud, Jean-Arthur Micoulaud-Franchi
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-7 (2020)
Abstract Virtual agents have demonstrated their ability to conduct clinical interviews. However, the factors influencing patients’ engagement with these agents have not yet been assessed. The objective of this study is to assess in outpatients the
Externí odkaz:
https://doaj.org/article/bd15710714f5448c90dc57be26134b41
Autor:
Vincent P. Martin, Jean-Luc Rouas, Jean-Arthur Micoulaud-Franchi, Pierre Philip, Jarek Krajewski
Publikováno v:
Frontiers in Digital Health, Vol 3 (2021)
This article presents research on the detection of pathologies affecting speech through automatic analysis. Voice processing has indeed been used for evaluating several diseases such as Parkinson, Alzheimer, or depression. If some studies present res
Externí odkaz:
https://doaj.org/article/c295d9f1710543bd828d9b7963cbb5e1