arXiv:2607.09431v2 Announce Type: replace-cross
Abstract: Medical time-to-event data are frequently subject to competing risks, where the occurrence of one terminal event precludes the others and sta...
By Sunny Yang, Weiyan Zhao, Wanqi Zhao
arXiv:2609.38181v1 Announce Type: new
Abstract: Survival analysis estimates time-to-event outcomes from patient covariates and is widely used for medical risk assessment. Patients seeking prognostic...
By Juan M Zambrano Chaves, Peniel Argaw, Risa Ueno, Carlo Bifulco, Kristina Young, Rom Leidner, Tristan Naumann, Hoifung Poon
arXiv:2606. 02671v1 Announce Type: cross Abstract: Machine learning predictors have become essential tools for guiding automated decision making.
By Itai Zilberstein, Ioannis Anagnostides, Tuomas Sandholm
arXiv:2606. 18281v1 Announce Type: cross Abstract: Conditional average treatment effects (CATEs) are central to treatment decision-making in personalized medicine.
By Daniel Klippert, Sarah Friedrich, Markus Pauly
arXiv:2606. 12006v1 Announce Type: cross Abstract: Predicting time-to-event outcomes such as mortality is a fundamental task in clinical decision-making, commonly addressed through survival analysis.
By Minh-Khoi Pham, Luca Cotugno, Alina Sirbu, Tai Tan Mai, Martin Crane, Marija Bezbradica
arXiv:2607. 00472v1 Announce Type: cross Abstract: Cardiovascular disease is still one of the main causes of death around the world.
By Sagnik Ghosh