{"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/control-matching-via-discharge-code-sequences","title":"Control Matching via Discharge Code Sequences","arxiv_id":"1612.01812","date":"2016-12-02","proceeding":null,"authors":["Dang Nguyen","Wei Luo","Dinh Phung","Svetha Venkatesh"],"abstract":"In this paper, we consider the patient similarity matching problem over a\ncancer cohort of more than 220,000 patients. Our approach first leverages on\nWord2Vec framework to embed ICD codes into vector-valued representation. We\nthen propose a sequential algorithm for case-control matching on this\nrepresentation space of diagnosis codes. The novel practice of applying the\nsequential matching on the vector representation lifted the matching accuracy\nmeasured through multiple clinical outcomes. We reported the results on a\nlarge-scale dataset to demonstrate the effectiveness of our method. For such a\nlarge dataset where most clinical information has been codified, the new method\nis particularly relevant.","url_abs":"http://arxiv.org/abs/1612.01812v1","url_pdf":"http://arxiv.org/pdf/1612.01812v1.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":"control-matching-via-discharge-code-sequences","repo_url":"https://github.com/nphdang/WVM","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}