{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/feature-selection-for-survival-analysis-with","title":"Feature Selection for Survival Analysis with Competing Risks using Deep Learning","arxiv_id":"1811.09317","date":"2018-11-22","proceeding":null,"authors":["Carl Rietschel","Jinsung Yoon","Mihaela van der Schaar"],"abstract":"Deep learning models for survival analysis have gained significant attention\nin the literature, but they suffer from severe performance deficits when the\ndataset contains many irrelevant features. We give empirical evidence for this\nproblem in real-world medical settings using the state-of-the-art model\nDeepHit. Furthermore, we develop methods to improve the deep learning model\nthrough novel approaches to feature selection in survival analysis. We propose\nfilter methods for hard feature selection and a neural network architecture\nthat weights features for soft feature selection. Our experiments on two\nreal-world medical datasets demonstrate that substantial performance\nimprovements against the original models are achievable.","url_abs":"http://arxiv.org/abs/1811.09317v4","url_pdf":"http://arxiv.org/pdf/1811.09317v4.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"feature-selection-for-survival-analysis-with","repo_url":"https://github.com/carlr67/deephitplus","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"deep-learning","task_name":"Deep Learning"},{"task_slug":"survival-analysis","task_name":"Survival Analysis"},{"task_slug":"feature-selection","task_name":"feature selection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}