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2020 – today
- 2023
[j2]Rita Zgheib, Ghazar Chahbandarian, Firuz Kamalov, Haythem El-Messiry, Ahmed Al-Gindy:
Towards an ML-based semantic IoT for pandemic management: A survey of enabling technologies for COVID-19. Neurocomputing 528: 160-177 (2023)- 2021
- [c5]Rita Zgheib
, Firuz Kamalov, Ghazar Chahbandarian, Osman El Labban:
Diagnosing COVID-19 on Limited Data: A Comparative Study of Machine Learning Methods. ICIC (2) 2021: 616-627 - [c4]Rita Zgheib, Ghazar Chahbandarian, Firuz Kamalov, Osman El Labban:
Neural Networks Architecture for COVID-19 Early Detection. ISNCC 2021: 1-6
2010 – 2019
- 2017
- [j1]Ghazar Chahbandarian, Nathalie Bricon-Souf, Imen Megdiche, Rémi Bastide, Jean-Christophe Steinbach:
Predicting the encoding of secondary diagnoses. An experience based on decision trees. Ingénierie des Systèmes d Inf. 22(2): 69-94 (2017) - 2016
- [c3]Ghazar Chahbandarian, Nathalie Souf, Rémi Bastide, Jean-Christophe Steinbach:
Increasing Alertness while Coding Secondary Diagnostics in the Medical Record. HEALTHINF 2016: 490-495 - [c2]Ghazar Chahbandarian, Nathalie Bricon-Souf, Rémi Bastide, Jean-Christophe Steinbach:
Increasing Secondary Diagnosis Encoding Quality Using Data Mining Techniques. INFORSID 2016: 205-206 - [c1]Ghazar Chahbandarian, Nathalie Bricon-Souf, Rémi Bastide, Jean-Christophe Steinbach:
Increasing secondary diagnosis encoding quality using data mining techniques. RCIS 2016: 1-10
Coauthor Index
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