{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T12:27:30Z","timestamp":1789216050593,"version":"build-2803163510"},"reference-count":34,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T00:00:00Z","timestamp":1722988800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100018712","name":"Universitatea de Medicin\u0103 \u015fi Farmacie Iuliu Ha\u0163ieganu Cluj-Napoca","doi-asserted-by":"publisher","award":["1033\/1\/13.01.2021"],"award-info":[{"award-number":["1033\/1\/13.01.2021"]}],"id":[{"id":"10.13039\/501100018712","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Clinical Otolaryngology"],"published-print":{"date-parts":[[2024,11]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>Evaluating the possibility of predicting chronic rhinosinusitis with nasal polyps (CRSwNP) disease course using Artificial Intelligence.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We prospectively included patients undergoing first endoscopic sinus surgery (ESS) for nasal polyposis. Preoperative (demographic data, blood eosinophiles, endoscopy, Lund\u2010Mackay, SNOT\u201022 and depression PHQ scores) and follow\u2010up data was standardly collected. Outcome measures included SNOT\u201022, PHQ\u20109 and endoscopy perioperative sinus endoscopy (POSE) scores and two different microRNAs (miR\u2010125b, miR\u2010203a\u20103p) from polyp tissue. Based on POSE score, three labels were created (controlled: 0\u20137; partial control: 8\u201315; or relapse: 16\u201332). Patients were divided into train and test groups and using Random Forest, we developed algorithms for predicting ESS related outcomes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Based on data collected from 85 patients, the proposed Machine Learning\u2010approach predicted whether the patient would present control, partial control or relapse of nasal polyposis at 18\u2009months following ESS. The algorithm predicted ESS outcomes with an accuracy between 69.23% (for non\u2010invasive input parameters) and 84.62% (when microRNAs were also included). Additionally, miR\u2010125b significantly improved the algorithm's accuracy and ranked as one of the most important algorithm variables.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>We propose a Machine Learning algorithm which could change the prediction of disease course in CRSwNP.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/coa.14208","type":"journal-article","created":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T07:10:01Z","timestamp":1723014601000},"page":"776-784","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Machine Learning Model Predicts Postoperative Outcomes in Chronic Rhinosinusitis With Nasal Polyps"],"prefix":"10.1111","volume":"49","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1089-8251","authenticated-orcid":false,"given":"Anda","family":"Gata","sequence":"first","affiliation":[{"name":"Department of Otorhinolaryngology University of Medicine and Pharmacy \u201cIuliu Hatieganu\u201d  Cluj Napoca Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3926-5423","authenticated-orcid":false,"given":"Lajos","family":"Raduly","sequence":"additional","affiliation":[{"name":"Research Center for Functional Genomics, Biomedicine and Translational Medicine \u201cIuliu Hatieganu\u201d University of Medicine and Pharmacy  Cluj\u2010Napoca Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5725-662X","authenticated-orcid":false,"given":"Liviu\u021ba","family":"Budi\u0219an","sequence":"additional","affiliation":[{"name":"Research Center for Functional Genomics, Biomedicine and Translational Medicine \u201cIuliu Hatieganu\u201d University of Medicine and Pharmacy  Cluj\u2010Napoca Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-9620-8584","authenticated-orcid":false,"given":"Ad\u00e9l","family":"Bajcsi","sequence":"additional","affiliation":[{"name":"Faculty of Mathematics and Computer Science, Department of Computer Science Babes\u2010Bolyai University  Cluj\u2010Napoca Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-8179-4608","authenticated-orcid":false,"given":"Teodora\u2010Maria","family":"Ursu","sequence":"additional","affiliation":[{"name":"Faculty of Mathematics and Computer Science, Department of Computer Science Babes\u2010Bolyai University  Cluj\u2010Napoca 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