{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T11:48:27Z","timestamp":1791632907333,"version":"4.3.4"},"reference-count":33,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T00:00:00Z","timestamp":1768780800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T00:00:00Z","timestamp":1768780800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001807","name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","doi-asserted-by":"publisher","award":["2009\/53839\u20102"],"award-info":[{"award-number":["2009\/53839\u20102"]}],"id":[{"id":"10.13039\/501100001807","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001807","name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","doi-asserted-by":"publisher","award":["2021\/14585\u20107"],"award-info":[{"award-number":["2021\/14585\u20107"]}],"id":[{"id":"10.13039\/501100001807","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001807","name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","doi-asserted-by":"publisher","award":["2022\/13069\u20108"],"award-info":[{"award-number":["2022\/13069\u20108"]}],"id":[{"id":"10.13039\/501100001807","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J Oral Pathology Medicine"],"published-print":{"date-parts":[[2026,5]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study aimed to develop and evaluate Machine Learning models to predict the malignant transformation (MT) in patients with actinic cheilitis (AC).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Three hundred forty patients diagnosed with AC (322 in the no MT group, and 18 in the MT group) were carefully\u00a0documented. The study used the Adaptive Synthetic Sampling to adaptively balance the dataset (322 in the no MT group and 319 in the MT group). Four supervised Machine Learning classifiers (Random Forest, Xtreme Gradient Boosting, Multilayer Perceptron, and Support Vector Machine) were trained and tested using 5\u2010fold cross\u2010validation to correlate inputs (clinical descriptors and demographic data) to outputs (MT). SHAP values were used to identify the most influential predictors of MT.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The Xtreme Gradient Boosting model stood out, achieving 96.72% accuracy, 96.87% sensitivity, 96.57% specificity, 96.61% precision, 96.73% of F1\u2010Score, and 0.9498 AUC. Multilayer Perceptron showed the best sensitivity (98.44%), and Random Forest presented comparable results. In contrast, Support Vector Machine underperformed, with higher values of false negatives and false positives. Across models, ulceration, multifocality, and long\u2010standing lesions were the strongest predictors of MT, while small, asymptomatic, or solitary lesions were associated with lower risk.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The results revealed promising performance metrics for Xtreme Gradient Boosting and Multilayer Perceptron suggesting their potential value as tools in a support system for monitoring AC. Additionally, synthetic data proved constructive in training, enhancing the models' robustness and predictive capabilities.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jop.70113","type":"journal-article","created":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T03:53:55Z","timestamp":1768881235000},"page":"574-582","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Machine Learning for Predicting Malignant Transformation in Actinic Cheilitis: A Prognostic Support System Based on Demographic and Clinical Descriptors"],"prefix":"10.1111","volume":"55","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-3828-0107","authenticated-orcid":false,"given":"Ivan Jos\u00e9","family":"Correia\u2010Neto","sequence":"first","affiliation":[{"name":"Departamento de Diagn\u00f3stico Oral, Faculdade de Odontologia de Piracicaba Universidade Estadual de Campinas (FOP\u2010UNICAMP)  Piracicaba S\u00e3o Paulo Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-6217-468X","authenticated-orcid":false,"given":"Alex Franco","family":"da Costa","sequence":"additional","affiliation":[{"name":"Institute of Science and Technology (ICT\u2010UNIFESP) Federal University of S\u00e3o Paulo  S\u00e3o Jos\u00e9 dos Campos S\u00e3o Paulo Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3725-8051","authenticated-orcid":false,"given":"Anna Lu\u00edza Damaceno","family":"Ara\u00fajo","sequence":"additional","affiliation":[{"name":"Head and Neck Surgery Department University of S\u00e3o Paulo Medical School (FMUSP)  S\u00e3o Paulo Brazil"},{"name":"Hospital Israelita Albert Einstein  S\u00e3o Paulo Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2422-2164","authenticated-orcid":false,"given":"Cristina","family":"Saldivia\u2010Siracusa","sequence":"additional","affiliation":[{"name":"Departamento de Diagn\u00f3stico Oral, Faculdade de Odontologia de Piracicaba Universidade Estadual de Campinas (FOP\u2010UNICAMP)  Piracicaba S\u00e3o Paulo Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4563-6531","authenticated-orcid":false,"given":"Ra\u00edsa Sales","family":"de S\u00e1","sequence":"additional","affiliation":[{"name":"Departamento de Diagn\u00f3stico Oral, Faculdade de Odontologia de Piracicaba Universidade Estadual de Campinas (FOP\u2010UNICAMP)  Piracicaba S\u00e3o Paulo Brazil"},{"name":"School of Dentistry Ceuma University  S\u00e3o Lu\u00eds Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-1101-5354","authenticated-orcid":false,"given":"Thiago Martini","family":"Pereira","sequence":"additional","affiliation":[{"name":"Institute of Science and Technology (ICT\u2010UNIFESP) Federal University of S\u00e3o Paulo  S\u00e3o Jos\u00e9 dos Campos S\u00e3o Paulo Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1840-4911","authenticated-orcid":false,"given":"Pablo Agustin","family":"Vargas","sequence":"additional","affiliation":[{"name":"Departamento de Diagn\u00f3stico Oral, Faculdade de Odontologia de Piracicaba Universidade Estadual de Campinas (FOP\u2010UNICAMP)  Piracicaba S\u00e3o Paulo Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2040-6617","authenticated-orcid":false,"given":"Alan Roger","family":"Santos\u2010Silva","sequence":"additional","affiliation":[{"name":"Departamento de Diagn\u00f3stico Oral, Faculdade de Odontologia de Piracicaba Universidade Estadual de Campinas (FOP\u2010UNICAMP)  Piracicaba S\u00e3o Paulo Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0481-156X","authenticated-orcid":false,"given":"Luiz Paulo","family":"Kowalski","sequence":"additional","affiliation":[{"name":"Head and Neck Surgery Department University of S\u00e3o Paulo Medical School (FMUSP)  S\u00e3o Paulo Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6019-6653","authenticated-orcid":false,"given":"Matheus Cardoso","family":"Moraes","sequence":"additional","affiliation":[{"name":"Institute of Science and Technology (ICT\u2010UNIFESP) Federal University of S\u00e3o Paulo  S\u00e3o Jos\u00e9 dos Campos S\u00e3o Paulo Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6677-0065","authenticated-orcid":false,"given":"Marcio Ajudarte","family":"Lopes","sequence":"additional","affiliation":[{"name":"Departamento de Diagn\u00f3stico Oral, Faculdade de Odontologia de Piracicaba Universidade Estadual de Campinas (FOP\u2010UNICAMP)  Piracicaba S\u00e3o Paulo Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,1,19]]},"reference":[{"key":"e_1_2_13_2_1","volume-title":"StatPearls","author":"Muse M. E.","year":"2023"},{"key":"e_1_2_13_3_1","doi-asserted-by":"publisher","DOI":"10.1111\/jicd.12343"},{"key":"e_1_2_13_4_1","doi-asserted-by":"publisher","DOI":"10.1590\/abd1806-4841.20153848"},{"key":"e_1_2_13_5_1","doi-asserted-by":"publisher","DOI":"10.31744\/einstein_journal\/2022AO6862"},{"key":"e_1_2_13_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.joms.2006.09.016"},{"key":"e_1_2_13_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/odi.13704"},{"key":"e_1_2_13_8_1","doi-asserted-by":"publisher","DOI":"10.3389\/fmed.2022.805425"},{"key":"e_1_2_13_9_1","doi-asserted-by":"publisher","DOI":"10.3892\/mco.2018.1599"},{"key":"e_1_2_13_10_1","doi-asserted-by":"publisher","DOI":"10.1111\/jop.13397"},{"key":"e_1_2_13_11_1","doi-asserted-by":"publisher","DOI":"10.1111\/jop.13042"},{"key":"e_1_2_13_12_1","doi-asserted-by":"publisher","DOI":"10.3390\/cancers13236054"},{"key":"e_1_2_13_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2015.04.024"},{"key":"e_1_2_13_14_1","doi-asserted-by":"publisher","DOI":"10.1002\/path.6094"},{"key":"e_1_2_13_15_1","doi-asserted-by":"publisher","DOI":"10.1088\/2633\u20101357\/ac95e2"},{"key":"e_1_2_13_16_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41416\u2010023\u201002438\u20100"},{"key":"e_1_2_13_17_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41698\u2010024\u201000624\u20108"},{"key":"e_1_2_13_18_1","first-page":"1322","volume-title":"2008 IEEE International Joint Conference on Neural Networks","author":"He H.","year":"2008"},{"key":"e_1_2_13_19_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"e_1_2_13_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"e_1_2_13_21_1","doi-asserted-by":"publisher","DOI":"10.1038\/323533a0"},{"key":"e_1_2_13_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"e_1_2_13_23_1","unstructured":"S. M.LundbergandS. I.Lee \u201cA Unified Approach to Interpreting Model Predictions \u201darXiv1705.07874 2017 https:\/\/doi.org\/10.48550\/arXiv.1705.07874."},{"key":"e_1_2_13_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12652\u2010021\u201003612\u2010z"},{"key":"e_1_2_13_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2021.104557"},{"key":"e_1_2_13_26_1","doi-asserted-by":"publisher","DOI":"10.1111\/jop.13414"},{"key":"e_1_2_13_27_1","doi-asserted-by":"publisher","DOI":"10.1177\/0022034521998337"},{"key":"e_1_2_13_28_1","doi-asserted-by":"publisher","DOI":"10.1111\/odi.13825"},{"key":"e_1_2_13_29_1","doi-asserted-by":"publisher","DOI":"10.3390\/cancers13194751"},{"key":"e_1_2_13_30_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.gie.2019.08.018"},{"key":"e_1_2_13_31_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10278\u2010020\u201000395\u20101"},{"key":"e_1_2_13_32_1","doi-asserted-by":"publisher","DOI":"10.1002\/hed.27533"},{"key":"e_1_2_13_33_1","doi-asserted-by":"publisher","DOI":"10.1111\/jop.12389"},{"key":"e_1_2_13_34_1","doi-asserted-by":"publisher","DOI":"10.21608\/ijci.2023.236287.1136"}],"container-title":["Journal of Oral Pathology &amp; Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/jop.70113","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1111\/jop.70113","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/jop.70113","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T03:42:36Z","timestamp":1778125356000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/jop.70113"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,19]]},"references-count":33,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2026,5]]}},"alternative-id":["10.1111\/jop.70113"],"URL":"https:\/\/doi.org\/10.1111\/jop.70113","archive":["Portico"],"relation":{"has-review":[{"id-type":"doi","id":"10.1111\/JOP.70113\/v1\/review1","asserted-by":"object"},{"id-type":"doi","id":"10.1111\/JOP.70113\/v1\/review2","asserted-by":"object"},{"id-type":"doi","id":"10.1111\/JOP.70113\/v1\/decision1","asserted-by":"object"}]},"ISSN":["0904-2512","1600-0714"],"issn-type":[{"value":"0904-2512","type":"print"},{"value":"1600-0714","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1,19]]},"assertion":[{"value":"2025-04-05","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-12-23","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-01-19","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}