| Survival models: Proper scoring rule and stochastic optimization with competing risks J Alberge, V Maladière, O Grisel, J Abécassis, G Varoquaux arXiv preprint arXiv:2410.16765, 2024 | 2 | 2024 |
| Teaching models to survive: Proper scoring rule and stochastic optimization with competing risks J Alberge, V Maladière, O Grisel, J Abécassis, G Varoquaux arXiv preprint arXiv:2406.14085, 2024 | 2 | 2024 |
| From prediction to prescription: Machine learning and Causal Inference J Abécassis, E Dumas, J Alberge, G Varoquaux | 1 | 2024 |
| Operational challenges of building a million-patient cohort from EHRs: The COhort of DIabetic patients (CODIA) on the AP-HP EDS J Abécassis, T Jolivet, A Bergès, E Liu, JB Julla, Y Abouleka, J Alberge, ... journée de l'Atelier TIDS (Traitement Informatique des Données de Santé) du …, 2024 | 1 | 2024 |
| Taux de mortalité et facteurs de risque associés chez les patients diabétiques hospitalisés pour plaie du pied: étude de cohorte historique sur l'EDS-APHP T Jolivet, JB Julla, Y Abouleka, A Berges, G Varoquaux, J Abecassis, ... Journal of Epidemiology and Population Health 72, 202255, 2024 | | 2024 |
| Development and external validation of a lung cancer risk estimation tool using gradient-boosting PL Benveniste, J Alberge, L Xing, JE Bibault arXiv preprint arXiv:2308.12188, 2023 | | 2023 |