Web: http://arxiv.org/abs/2206.06885

June 16, 2022, 1:12 a.m. | Carlos García Meixide, Marcos Matabuena, Michael R. Kosorok

stat.ML updates on arXiv.org arxiv.org

The classical Cox model emerged in 1972 promoting breakthroughs in how
patient prognosis is quantified using time-to-event analysis in biomedicine.
One of the most useful characteristics of the model for practitioners is the
interpretability of the variables in the analysis. However, this comes at the
price of introducing strong assumptions concerning the functional form of the
regression model. To break this gap, this paper aims to exploit the
explainability advantages of the classical Cox model in the setting of
interval-censoring …

arxiv feature feature selection interval ml neural regression

More from arxiv.org / stat.ML updates on arXiv.org

Machine Learning Researcher - Saalfeld Lab

@ Howard Hughes Medical Institute - Chevy Chase, MD | Ashburn, Virginia

Project Director, Machine Learning in US Health

@ ideas42.org | Remote, US

Data Science Intern

@ NannyML | Remote

Machine Learning Engineer NLP/Speech

@ Play.ht | Remote

Research Scientist, 3D Reconstruction

@ Yembo | Remote, US

Clinical Assistant or Associate Professor of Management Science and Systems

@ University at Buffalo | Buffalo, NY