{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T12:20:05Z","timestamp":1773750005571,"version":"3.50.1"},"reference-count":35,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2022,11,11]],"date-time":"2022-11-11T00:00:00Z","timestamp":1668124800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Head &amp; Neck"],"published-print":{"date-parts":[[2023,2]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Knowledge of the prognostic factors and performance of machine learning predictive models for 2\u2010year cancer\u2010specific survival (CSS) is limited in the head and neck cancer (HNC) population.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Data from our facilities' oncology information system (OIS) collected for routine practice (OIS dataset, <jats:italic>n<\/jats:italic>\u00a0=\u00a0430 patients) and research purposes (research dataset, <jats:italic>n<\/jats:italic>\u00a0=\u00a0529 patients) were extracted on adults diagnosed between 2000 and 2017 with squamous cell carcinoma of the head and neck.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Machine learning demonstrated excellent performance (area under the curve, AUC) in the whole cohort (AUC\u00a0=\u00a00.97, research dataset), larynx cohort (AUC\u00a0=\u00a00.98, both datasets), and oropharynx cohort (AUC\u00a0=\u00a00.99, both datasets). Tumor site and T classification were identified as predictors of 2\u2010year CSS in both datasets. Hypothyroidism and fitness for operation were further identified in the research dataset.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Datasets extracted from an OIS for routine clinical practice and research purposes demonstrated high utility for informing 2\u2010year head and neck CSS.<\/jats:p><\/jats:sec>","DOI":"10.1002\/hed.27241","type":"journal-article","created":{"date-parts":[[2022,11,12]],"date-time":"2022-11-12T06:44:02Z","timestamp":1668235442000},"page":"365-379","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Empirical comparison of routinely collected electronic health record data for head and neck cancer\u2010specific survival in machine\u2010learnt prognostic models"],"prefix":"10.1002","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6203-2807","authenticated-orcid":false,"given":"Damian 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