Multimorbidity clustering of the emergency department patient flow: Impact analysis of new unscheduled care clinics

Autor: Adrien Wartelle, Farah Mourad-Chehade, Farouk Yalaoui, Hélène Questiaux, Thomas Monneret, Ghislain Soliveau, Jan Chrusciel, Antoine Duclos, David Laplanche, Stéphane Sanchez

Publikováno v: PLoS ONE, Vol 17, Iss 1 (2022)

Background In France, the number of emergency department (ED) admissions doubled between 1996 and 2016. To cope with the resulting crowding situation, redirecting patients to new healthcare services was considered a viable solution which would spread

Externí odkaz: https://doaj.org/article/5ee676cf5b25493c84aeb1af7ca0bd4c

Effect of the COVID-19 pandemic lockdown on non-COVID-19 emergency department visits in Eastern France: Reduced risk or avoidance behavior?

Autor: Adrien Wartelle, Farah Mourad-Chehade, Farouk Yalaoui, Jan Chrusciel, David Laplanche, Stéphane Sanchez

Publikováno v: Public Health in Practice, Vol 2, Iss , Pp 100109- (2021)

Objective: To study the impact of COVID-19 pandemic lockdown on avoided emergency department visits and consequent hospitalizations. Study design: An observational retrospective design was used to investigate avoided visits and hospitalizations of an

Externí odkaz: https://doaj.org/article/da54a8dddafd46a6b180dc66b022ba22

Clustering of a Health Dataset Using Diagnosis Co-Occurrences

Autor: Adrien Wartelle, Farah Mourad-Chehade, Farouk Yalaoui, Jan Chrusciel, David Laplanche, Stéphane Sanchez

Publikováno v: Applied Sciences, Vol 11, Iss 5, p 2373 (2021)

Assessing the health profiles of populations is a crucial task to create a coherent healthcare offer. Emergency Departments (EDs) are at the core of the healthcare system and could benefit from this evaluation via an improved understanding of the hea

Externí odkaz: https://doaj.org/article/a98393050b584c4c9e700904428f1f33

Detection of Heart Failure Using a Convolutional Neural Network via ECG Signals

Autor: Jad Botros, Farah Mourad-Chehade, David Laplanche

Publikováno v: 2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f449c5c9d2a12d188008817979cb5f09
https://doi.org/10.1109/cisp-bmei56279.2022.9980118

Fusion of Multiple Mobility and Observation Models for Indoor Zoning-Based Sensor Tracking

Autor: Daniel Alshamaa, Aly Chkeir, Paul Honeine, Farah Mourad-Chehade

Publikováno v: IEEE Transactions on Aerospace and Electronic Systems
IEEE Transactions on Aerospace and Electronic Systems, Institute of Electrical and Electronics Engineers, In press, pp.1-1. ⟨10.1109/TAES.2020.2988837⟩
IEEE Transactions on Aerospace and Electronic Systems, 2020, 56 (6), pp.4315-4326. ⟨10.1109/TAES.2020.2988837⟩

International audience; In this paper, we propose a novel zoning-based tracking technique that combines the sensors' mobility with a WiFi-based observation model in the belief functions framework to track the sensors in real time. The next possible d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ec3c750e070e556fd4e44d8786707f3
https://doi.org/10.1109/taes.2020.2988837