Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Arnaud, Hansske"'
Autor:
Anne Quesnel-Barbet, Julien Soula, Erik-André Sauleau, Pierre Bazile, François Dufossez, Gilles Maignant, Frédéric Albert, Arnaud Hansske, Lorraine Trilling
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d395b1b8fe40c7cbada9cdbaa9b26df
https://hal.science/hal-03563598
https://hal.science/hal-03563598
Autor:
Anne Quesnel-Barbet, Julien Soula, Erik-André Sauleau, Pierre Bazile, François Dufossez, Gilles Maignant, Frédéric Albert, Arnaud Hansske, Lorraine Trilling
Publikováno v:
Génie industriel et productique
Génie industriel et productique, 2022
Génie industriel et productique, 2022
International audience; Three key factors appear relevant in view of annual optimizations of the Public Hospital management: territorial reorganization, quick change in medical technologies and maintaining balanced budgets. Finding the right tools fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a71a68148e0e493fad9543d9a5e6f3e0
https://hal.science/hal-03563598/document
https://hal.science/hal-03563598/document
Autor:
Abdelahad, Chraibi, David, Delerue, Julien, Taillard, Ismat, Chaib Draa, Régis, Beuscart, Arnaud, Hansske
Publikováno v:
Studies in health technology and informatics. 281
The International Statistical Classification of Diseases and Related Health Problems (ICD) is one of the widely used classification system for diagnoses and procedures to assign diagnosis codes to Electronic Health Record (EHR) associated with a pati
Autor:
Ismat Chaib Draa, Julien Taillard, Arnaud Hansske, David Delerue, Abdelahad Chraibi, Régis Beuscart
Publikováno v:
MIE
The International Statistical Classification of Diseases and Related Health Problems (ICD) is one of the widely used classification system for diagnoses and procedures to assign diagnosis codes to Electronic Health Record (EHR) associated with a pati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63d3159892dcbe63339085a3125f5792
https://doi.org/10.3233/shti210178
https://doi.org/10.3233/shti210178
Autor:
Anne, Quesnel-Barbet, Julien, Soula, Erik-André, Sauleau, Pierre, Parrend, Pierre, Bazile, François, Dufossez, Gilles, Maignant, Pascal, Staccini, Frédéric, Albert, Arnaud, Hansske
Publikováno v:
Studies in health technology and informatics. 270
Since a French organization (2016) has defined "the territorial hospital groupings", public hospitals must share medical-economic knowledge and decision-makers expect prospective analyses. PoleSat aims, quick hospital-catchment area modellings, compl
Autor:
Anne Quesnel-Barbet, Ismahane Ben Gayed, Mathurin Gamichon, Pierre Bazile, François Dufossez, Julien Soula, Arnaud Hansske, Eric-André Sauleau, Pierre Parrend
Publikováno v:
SN Applied Sciences
SN Applied Sciences, Springer Verlag, 2020, 2 (5), ⟨10.1007/s42452-020-2735-y⟩
SN Applied Sciences, 2020, 2 (5), ⟨10.1007/s42452-020-2735-y⟩
SN Applied Sciences, Springer Verlag, 2020, 2 (5), ⟨10.1007/s42452-020-2735-y⟩
SN Applied Sciences, 2020, 2 (5), ⟨10.1007/s42452-020-2735-y⟩
In France and elsewhere, decision-makers, healthcare professionals and health planners need to better understand and specify the provision of medical care. To this end, a hospital-based research project on a gravitational health planning modelling pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acd2b5f12490cc3428780249e9b0755c
https://hal.archives-ouvertes.fr/hal-02870881/file/SNAS-D-19-03890_R3_HALdepot.pdf
https://hal.archives-ouvertes.fr/hal-02870881/file/SNAS-D-19-03890_R3_HALdepot.pdf
Publikováno v:
Studies in health technology and informatics. 257
Electronic health record (EHR) systems were initially developed to improve health care delivery by facilitating the healthcare professionals' access to electronically-stored patient information, but problems are regularly reported in the literature.
Autor:
Justine Lemtiri-Florek, Julien Taillard, Laetitia Jourdan, Hélène Martin-Huyghe, Clarisse Dhaenens, Valérie Leclercq, David Delerue, Arnaud Hansske, Julie Jacques
Publikováno v:
International Journal of Medical Informatics
International Journal of Medical Informatics, Elsevier, In press, October 2020, 142, ⟨10.1016/j.ijmedinf.2020.104242⟩
International Journal of Medical Informatics, 2020, October 2020, 142, ⟨10.1016/j.ijmedinf.2020.104242⟩
International Journal of Medical Informatics, Elsevier, In press, October 2020, 142, ⟨10.1016/j.ijmedinf.2020.104242⟩
International Journal of Medical Informatics, 2020, October 2020, 142, ⟨10.1016/j.ijmedinf.2020.104242⟩
Background Multi-drug resistant (MDR) bacteria are a major health concern. In this retrospective study, a rule-based classification algorithm, MOCA-I (Multi-Objective Classification Algorithm for Imbalanced data) is used to identify hospitalized pati
Autor:
Renaud Perichon, G. Ficheur, Cristina Cozma, Emmanuel Chazard, Régis Bordet, Alexandru Amarioarei, Julie Jacques, Vincent Vandewalle, Porpimol Chaiwuttisak, Apolline Lansiaux, Maxence Vandromme, Clarisse Dhaenens, Julien Taillard, Laetitia Jourdan, Arnaud Hansske, Marie-Eléonore Kessaci, Cristian Preda, David Delerue
Publikováno v:
Innovation and Research in BioMedical engineering
Innovation and Research in BioMedical engineering, 2018, 39 (2), pp.83-92. ⟨10.1016/j.irbm.2017.12.002⟩
Innovation and Research in BioMedical engineering, Elsevier Masson, 2018, 39 (2), pp.83-92. ⟨10.1016/j.irbm.2017.12.002⟩
Innovation and Research in BioMedical engineering, 2018, 39 (2), pp.83-92. ⟨10.1016/j.irbm.2017.12.002⟩
Innovation and Research in BioMedical engineering, Elsevier Masson, 2018, 39 (2), pp.83-92. ⟨10.1016/j.irbm.2017.12.002⟩
International audience; A better understanding of “patient pathway” thanks to data analysis can lead to better treatments for patients. The ClinMine project, supported by the The French National Research Agency (ANR), aims at proposing, from vari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17b1af79f08c72a0b002a9d7f5344668
https://hal.inria.fr/hal-01692197/document
https://hal.inria.fr/hal-01692197/document
Autor:
Julien Taillard, Laetitia Jourdan, Julien Jacques, Clarisse Dhaenens, Arnaud Hansske, Maxence Vandromme
Publikováno v:
Knowledge-Based Systems
Knowledge-Based Systems, 2017, 122, pp.148-158. ⟨10.1016/j.knosys.2017.02.001⟩
Knowledge-Based Systems, Elsevier, 2017, 122, pp.148-158. ⟨10.1016/j.knosys.2017.02.001⟩
Knowledge-Based Systems, 2017, 122, pp.148-158. ⟨10.1016/j.knosys.2017.02.001⟩
Knowledge-Based Systems, Elsevier, 2017, 122, pp.148-158. ⟨10.1016/j.knosys.2017.02.001⟩
International audience; This study focuses on the problem of supervised classification on heterogeneous temporal data featuring a mixture of attribute types (numeric, binary, symbolic, temporal). We present a model for classification rules designed t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee8d5630cf4be5efc92b33e572e2e837
https://hal.science/hal-01564520
https://hal.science/hal-01564520