{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T01:14:10Z","timestamp":1787015650390,"version":"build-2736575974"},"reference-count":24,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2018,6,4]],"date-time":"2018-06-04T00:00:00Z","timestamp":1528070400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2016R1A2B4007286"],"award-info":[{"award-number":["2016R1A2B4007286"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Oral Rehabilitation"],"published-print":{"date-parts":[[2018,8]]},"abstract":"Summary<\/jats:title>\n \n This study aimed to deduce evidence\u2010based clinical clues that differentiate temporomandibular disorders (\n TMD<\/jats:styled-content>\n )\u2010mimicking conditions from genuine\n TMD<\/jats:styled-content>\n by text mining using natural language processing (\n NLP<\/jats:styled-content>\n ) and recursive partitioning. We compared the medical records of 29 patients diagnosed with\n TMD<\/jats:styled-content>\n \u2010mimicking conditions and 290 patients diagnosed with genuine\n TMD<\/jats:styled-content>\n . Chief complaints and medical histories were preprocessed via\n NLP<\/jats:styled-content>\n to compare the frequency of word usage. In addition, recursive partitioning was used to deduce the optimal size of mouth opening, which could differentiate\n TMD<\/jats:styled-content>\n \u2010mimicking from genuine\n TMD<\/jats:styled-content>\n groups. The prevalence of\n TMD<\/jats:styled-content>\n \u2010mimicking conditions was more evenly distributed across all age groups and showed a nearly equal gender ratio, which was significantly different from genuine\n TMD<\/jats:styled-content>\n .\n TMD<\/jats:styled-content>\n \u2010mimicking conditions were caused by inflammation, infection, hereditary disease and neoplasm. Patients with\n TMD<\/jats:styled-content>\n \u2010mimicking conditions frequently used \u201cmouth opening limitation\u201d (\n P\u00a0<\/jats:italic>\n <\n \u00a0<\/jats:italic>\n .001), but less commonly used words such as \u201cnoise\u201d (\n P\u00a0<\/jats:italic>\n <\n \u00a0<\/jats:italic>\n .001) and \u201ctemporomandibular joint\u201d (\n P\u00a0<\/jats:italic>\n <\n \u00a0<\/jats:italic>\n .001) than patients with genuine\n TMD<\/jats:styled-content>\n . A diagnostic classification tree on the basis of recursive partitioning suggested that 12.0\u00a0mm of comfortable mouth opening and 26.5\u00a0mm of maximum mouth opening were deduced as the most optimal mouth\u2010opening cutoff sizes. When the combined analyses were performed based on both the text mining and clinical examination data, the predictive performance of the model was 96.6% with 69.0% sensitivity and 99.3% specificity in predicting\n TMD<\/jats:styled-content>\n \u2010mimicking conditions. In conclusion, this study showed that\n AI<\/jats:styled-content>\n technology\u2010based methods could be applied in the field of differential diagnosis of orofacial pain disorders.\n <\/jats:p>","DOI":"10.1111\/joor.12655","type":"journal-article","created":{"date-parts":[[2018,5,21]],"date-time":"2018-05-21T09:11:01Z","timestamp":1526893861000},"page":"581-588","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Differential diagnosis of jaw pain using informatics technology"],"prefix":"10.1111","volume":"45","author":[{"given":"Y.","family":"Nam","sequence":"first","affiliation":[{"name":"Department of Oral Medicine and Oral Diagnosis School of Dentistry and Dental Research Institute Seoul National University Seoul Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"H.\u2010G.","family":"Kim","sequence":"additional","affiliation":[{"name":"Biomedical Knowledge Engineering Laboratory School of Dentistry and Dental Research Institute Seoul National University Seoul Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9960-9892","authenticated-orcid":false,"given":"H.\u2010S.","family":"Kho","sequence":"additional","affiliation":[{"name":"Department of Oral Medicine and Oral Diagnosis School of Dentistry and Dental Research Institute Seoul National University Seoul Korea"},{"name":"Institute on Aging Seoul National University Seoul Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2018,6,4]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMsa0900592"},{"key":"e_1_2_8_3_1","first-page":"259","article-title":"Use of electronic medical records (EMR) for oncology outcomes research: assessing the comparability of EMR information to patient registry and health claims data","volume":"3","author":"Lau EC","year":"2011","journal-title":"Clin Epidemiol"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-09891-3_13"},{"issue":"1","key":"e_1_2_8_5_1","first-page":"128","article-title":"Extracting information from textual documents in the electronic health record: a review of recent research","volume":"47","author":"Meystre SM","year":"2008","journal-title":"Yearb Med Inform"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.01.011"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1002\/aris.1440370103"},{"key":"e_1_2_8_8_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2011.1204"},{"key":"e_1_2_8_9_1","first-page":"1","article-title":"Mining clinical text for stroke prediction","volume":"4","author":"Sedghi E","year":"2015","journal-title":"Netw Model Anal Health Inf Bioinf"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s40264-014-0218-z"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2017.01.001"},{"key":"e_1_2_8_12_1","first-page":"246","article-title":"The differential diagnosis of temporomandibular disorders","volume":"13","author":"Mock D","year":"1999","journal-title":"J Orofac Pain"},{"key":"e_1_2_8_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1079-2104(03)00373-1"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1038\/sj.bdj.2010.981"},{"key":"e_1_2_8_15_1","first-page":"198","article-title":"Condylar metastasis with initial presentation as TMJ syndrome","volume":"40","author":"Owen DG","year":"1985","journal-title":"J Oral Med"},{"key":"e_1_2_8_16_1","doi-asserted-by":"publisher","DOI":"10.14219\/jada.archive.1986.0053"},{"key":"e_1_2_8_17_1","doi-asserted-by":"publisher","DOI":"10.1038\/sj.bdj.4806724"},{"key":"e_1_2_8_18_1","doi-asserted-by":"publisher","DOI":"10.14219\/jada.archive.1991.0330"},{"key":"e_1_2_8_19_1","first-page":"140","article-title":"Malignancy of the parotid gland with primary symptoms of a temporomandibular disorder","volume":"14","author":"Miyamoto H","year":"2000","journal-title":"J Orofac Pain"},{"key":"e_1_2_8_20_1","doi-asserted-by":"publisher","DOI":"10.11607\/ofph.1672"},{"key":"e_1_2_8_21_1","doi-asserted-by":"publisher","DOI":"10.1037\/a0016973"},{"key":"e_1_2_8_22_1","first-page":"301","article-title":"Research diagnostic criteria for temporomandibular disorders: review, criteria, examinations and specifications, critique","volume":"6","author":"Dworkin SF","year":"1992","journal-title":"J Craniomandib Disord"},{"key":"e_1_2_8_23_1","unstructured":"JeonH.KoNLP: Korean NLP Package.2012. 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