{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T20:48:43Z","timestamp":1771966123195,"version":"3.50.1"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684567","type":"print"},{"value":"9781643684574","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T00:00:00Z","timestamp":1706140800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,1,25]]},"abstract":"<jats:p>Natural language processing (NLP) tools can automate the identification of cancer patients eligible for specific pathways. We developed and validated a cancer agnostic, rules-based NLP framework to extract the dimensions and measurements of several concepts from pathology and radiology reports. This framework was then efficiently and cost-effectively deployed to identify patients eligible for breast, lung, and prostate cancers clinical pathways.<\/jats:p>","DOI":"10.3233\/shti231237","type":"book-chapter","created":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T10:29:37Z","timestamp":1706178577000},"source":"Crossref","is-referenced-by-count":1,"title":["An NLP Framework for the Extraction of Concept Measurements from Radiology and Pathology Notes"],"prefix":"10.3233","author":[{"given":"Annie","family":"Bowles","sequence":"first","affiliation":[{"name":"VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT"},{"name":"Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT"}]},{"given":"Cris","family":"Perez","sequence":"additional","affiliation":[{"name":"VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT"},{"name":"Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT"}]},{"given":"Anil","family":"Vachani","sequence":"additional","affiliation":[{"name":"University of Pennsylvania, Department of Medicine, Division of Pulmonary, Allergy, and Critical Care Medicine, Philadelphia, Pennsylvania"}]},{"given":"Jennifer","family":"Steltz","sequence":"additional","affiliation":[{"name":"University of Pennsylvania, Department of Medicine, Division of Pulmonary, Allergy, and Critical Care Medicine, Philadelphia, Pennsylvania"}]},{"given":"Brent","family":"Rose","sequence":"additional","affiliation":[{"name":"Veterans Affairs San Diego Healthcare System, San Diego, CA"},{"name":"Department of Urology, University of California San Diego, La Jolla, CA"}]},{"given":"Alex K.","family":"Bryant","sequence":"additional","affiliation":[{"name":"Department of Radiation Oncology, University of Michigan, Ann Arbor, MI"},{"name":"Department of Radiation Oncology, Veterans Affairs Ann Arbor Health System, Ann Arbor, MI"}]},{"given":"Hannah","family":"Eyre","sequence":"additional","affiliation":[{"name":"VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT"},{"name":"Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT"}]},{"given":"Scott L.","family":"DuVall","sequence":"additional","affiliation":[{"name":"VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT"},{"name":"Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT"}]},{"given":"Julie A.","family":"Lynch","sequence":"additional","affiliation":[{"name":"VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT"},{"name":"Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT"}]},{"given":"Patrick R.","family":"Alba","sequence":"additional","affiliation":[{"name":"VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT"},{"name":"Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2023 \u2014 The Future Is Accessible"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI231237","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T10:29:38Z","timestamp":1706178578000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI231237"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,25]]},"ISBN":["9781643684567","9781643684574"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti231237","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,25]]}}}