Publications
Selected peer-reviewed articles, software papers,
and conference talks.
Selected articles
2026
- El Badisy I. (2026). unsurv: Clustering Individualized Survival Curves. Bioinformatics Advances, vbag218. doi:10.1093/bioadv/vbag218
- El Badisy I. (2026). SurvDNN: Survival Deep Learning Models for Tabular Data. The R Journal, 18(1):384-399. doi:10.32614/RJ-2026-008
- El Badisy I. (2026). funcml: Functional Machine Learning Software for R. Zenodo. doi:10.5281/zenodo.20707605
- El Badisy I., Assarag B., Belrhiti Z. (2026). Interpretable clinical decision support systems in high-risk pregnancy: a scoping review of models, methods, and implementation. BMC Pregnancy and Childbirth, 26(1):125. doi:10.1186/s12884-025-08614-9
- Bnimoussa J., Bouaddi O., El Badisy I., Khalis M. (2026). Drivers of youth mental health and wellbeing: a large-scale cross-sectional study in Morocco. BMJ Open, 16(6):e110683. doi:10.1136/bmjopen-2025-110683
- Lamchabbek N., Huybrechts I., El Badisy I., et al. (2026). Global assessment of the relationship between breast cancer risk and dietary intake: an ecological study. American Journal of Health Promotion, 40(5):591-600. doi:10.1177/08901171251389792
- Bouaddi O., El Badisy I., Charaka H., et al. (2026). Leveraging the positive deviance approach to drive behavior change in noncommunicable diseases: a scoping review. Public Health Challenges, 5(1):e70074. doi:10.1002/puh2.70074
- Lamchabbek N., Mrah S., Mane N., El Badisy I., et al. (2026). Adherence to WCRF/AICR cancer prevention recommendations and reduction in breast cancer risk: results of a large-scale case-control study in Morocco. British Journal of Nutrition. doi:10.1017/S0007114526106527
2025
- Houdou A., Khomsi K., Delle Monache L., El Badisy I., et al. (2025). Enhancing 5-day particulate matter (PM10) forecasts in Morocco using U-net: a deep learning approach. Atmospheric Research, 328:108439. doi:10.1016/j.atmosres.2025.108439
- Kadi C., Ahmadi N., Houdou A., El Badisy I., et al. (2025). Differentiating latent tuberculosis from active tuberculosis through activation phenotypes and chemokine markers HLA-DR, CD38, MCP-1, and RANTES: a systematic review and meta-analysis. Biomarker Insights, 20:11772719241312776. doi:10.1177/11772719241312776
2024
- Houdou A., El Badisy I., Khomsi K., et al. (2024). Interpretable machine learning approaches for forecasting and predicting air pollution: a systematic review. Aerosol and Air Quality Research, 24(1):230151. doi:10.4209/aaqr.230151
- El Badisy I., BenBrahim Z., Khalis M., et al. (2024). Risk factors affecting patient survival with colorectal cancer in Morocco: survival analysis using an interpretable machine learning approach. Scientific Reports, 14(1):3556. doi:10.1038/s41598-024-51304-3
- El Badisy I., Graffeo N., Khalis M., Giorgi R. (2024). Multi-metric comparison of machine learning imputation methods with application to breast cancer survival. BMC Medical Research Methodology, 24(1):191. doi:10.1186/s12874-024-02305-3
- Zbiri S., Belghiti Alaoui A., El Badisy I., et al. (2024). Private hospitals in low- and middle-income countries: a typology using the cluster method, the case of Morocco. BMC Health Services Research, 24(1):1231. doi:10.1186/s12913-024-11660-2
- Abdala S.A., Khomsi K., Houdou A., El Badisy I., et al. (2024). Emission reduction strategies and health: a systematic review on the tools and methods to assess co-benefits. BMJ Open, 14(12):e083214. doi:10.1136/bmjopen-2023-083214
Selected talks
- El Badisy I. et al. (2023). Comparison of missing data imputation methods in Cox regression with time-varying and non-linear covariate effects. ISCB 2023, Rome.
- El Badisy I. et al. (2023). Missing data imputation using a meta-algorithm, metaCART: A simulation study under MCAR. EpiClin 2023, Nancy.