{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T00:46:09Z","timestamp":1783471569901,"version":"3.55.0"},"reference-count":0,"publisher":"Association for the Advancement of Artificial Intelligence (AAAI)","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AAAI-SS"],"abstract":"<jats:p>Survival analysis is widely employed across medicine, business, and the social sciences. However, the absence of a unified and standardized software solution for evaluating survival analysis models impedes its broader application by researchers. In this research, we fill this gap by providing a comprehensive Python package, SurvivalEVAL, which implements seven evaluation metrics specific to survival analysis. The SurvivalEVAL package is designed to serve as a convenient and straightforward toolkit for individual survival distribution models. The package is publicly available on GitHub at https:\/\/github.com\/shi-ang\/SurvivalEVAL.<\/jats:p>","DOI":"10.1609\/aaaiss.v2i1.27713","type":"journal-article","created":{"date-parts":[[2024,1,23]],"date-time":"2024-01-23T00:52:36Z","timestamp":1705971156000},"page":"453-457","source":"Crossref","is-referenced-by-count":5,"title":["SurvivalEVAL: A Comprehensive Open-Source Python Package for Evaluating Individual Survival Distributions"],"prefix":"10.1609","volume":"2","author":[{"given":"Shi-ang","family":"Qi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weijie","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Russell","family":"Greiner","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"9382","published-online":{"date-parts":[[2024,1,22]]},"container-title":["Proceedings of the AAAI Symposium Series"],"original-title":[],"link":[{"URL":"https:\/\/ojs.aaai.org\/index.php\/AAAI-SS\/article\/download\/27713\/27486","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/ojs.aaai.org\/index.php\/AAAI-SS\/article\/download\/27713\/27486","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,23]],"date-time":"2024-01-23T00:52:37Z","timestamp":1705971157000},"score":1,"resource":{"primary":{"URL":"https:\/\/ojs.aaai.org\/index.php\/AAAI-SS\/article\/view\/27713"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,22]]},"references-count":0,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024,1,22]]}},"URL":"https:\/\/doi.org\/10.1609\/aaaiss.v2i1.27713","relation":{},"ISSN":["2994-4317"],"issn-type":[{"value":"2994-4317","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,22]]}}}