Gulshan
SIHAG
International Journal
Sihag G., Delcroix V., Grislin-Le strugeon E., Siebert X., Piechowiak S., Puisieux F. (2024). Combining real data and expert knowledge to build a Bayesian Network - Application to assess multiple risk factors for fall among elderly people. Expert Systems with Applications, 252, pp. 124106. [IF=8.5] [DOI=https://doi.org/10.1016/j.eswa.2024.124106].
Sihag G., Delcroix V., Grislin-Le strugeon E., Siebert X., Piechowiak S., Gaxatte C., Puisieux F. (2021). Evaluation of Risk Factors for Fall in Elderly using Bayesian Networks: a Case Study. Computer Methods and Programs in Biomedicine Update, 1, pp. 100035 [DOI=https://doi.org/10.1016/j.cmpbup.2021.100035].
Book chapter
Sihag G., Yadav P., Vijay V., Delcroix V., Siebert X., Yadav S., Puisieux F. (2022). Advantages of oversampling techniques: a case study in risk factors for fall prediction. Revised version of selected papers from the ICT4AWE 2022 conference (provisory title), Springer, pp.
Proceedings of International Conference with selection committee
Sihag G., Yadav P., Delcroix V., Vijay V., Siebert X., Yadav S., Puisieux F. (2022). Evaluation of Risk Factors for Fall in Elderly People from Imbalanced Data using the Oversampling Technique SMOTE. ICT4AWE 2022, Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health (April 23-25), pp. 50-58, april ., ISBN 978-989-758-566-1
Sihag G., Delcroix V., Grislin-Le strugeon E., Siebert X., Piechowiak S., Puisieux F. (2020). Prediction of Risk Factors for Fall using Bayesian Networks with Partial Health Information. AIdSH: International Workshop on AI-driven Smart Healthcare, IEEE Global Communications Conference, GLOBECOM 2020 (December 7-11), Virtual event, december .
Proceedings of National Conference with selection committee
Sihag G., Delcroix V., Grislin-Le strugeon E., Siebert X., Piechowiak S. (2023). Machine Learning Approaches to Identifying Risk Factors for Falls Among Elderly People: A Comparative Study. JFRB 2023, 11èmes Journées Francophones sur les Réseaux Bayésiens et les Modèles Graphiques Probabilistes, Polytech'Nantes, Nantes, France, june .
Sihag G., Delcroix V., Grislin-Le strugeon E., Piechowiak S., Siebert X. (2023). Using oversampling with a Bayesian network when data is imbalanced: study on a real case. JFRB 2023, 11èmes Journées Francophones sur les Réseaux Bayésiens et les Modèles Graphiques Probabilistes, Polytech'Nantes, Nantes, France, june .
Sihag G., Delcroix V., Grislin-Le strugeon E., Siebert X., Piechowiak S. (2021). Temporal Data Simulation based on a real data set for fall prevention. 10èmes Journées Francophones sur les Réseaux Bayésiens et les Modèles Graphiques Probabilis, Île de Porquerolles, France, october .
Seminar and other papers
Delcroix V., Sihag G., Grislin-Le strugeon E., Siebert X., Piechowiak S., Puisieux F. (2021). Prédiction des facteurs de risque de chute chez les personnes âgées à partir d'observations partielles à l'aide d'un réseau bayésien. Colloque francophone sur la chute de la personne âgée, co-organisé par le Pôle de Recherche et d'Innovation en MObilité et Handicap (PRIMOH) et le réseau PREMOB, organisé en distanciel, Valenciennes, France, may .
Sihag G., Delcroix V., Grislin-Le strugeon E., Siebert X., Piechowiak S., Puisieux F. (2021). Prediction of Risk Factors for Falls in Elderly using Partial Health Information. Poster N° 106, Mardi des Chercheurs, UMONS, UPHF, en distanciel, Mons, Belgique, march .
PhD Thesis
Sihag G. (2023). Evaluation of risk factors for falls in the elderly based on a real data set using Bayesian networks. , LAMIH, Université Polytechnique Hauts-de-France, Valenciennes, july .