{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T00:38:55Z","timestamp":1773103135122,"version":"3.50.1"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,17]],"date-time":"2022-12-17T00:00:00Z","timestamp":1671235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,17]],"date-time":"2022-12-17T00:00:00Z","timestamp":1671235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,17]]},"DOI":"10.1109\/bigdata55660.2022.10021045","type":"proceedings-article","created":{"date-parts":[[2023,1,26]],"date-time":"2023-01-26T19:35:23Z","timestamp":1674761723000},"page":"2790-2799","source":"Crossref","is-referenced-by-count":8,"title":["\u201cConstructing Machine Learning models for Orthodontic Treatment Planning: a comparison of different methods\u201d"],"prefix":"10.1109","author":[{"given":"Hamid","family":"Shojaei","sequence":"first","affiliation":[{"name":"Emlyon Business School,Lyon,France"}]},{"given":"Vincent","family":"Augusto","sequence":"additional","affiliation":[{"name":"Ecole des Mines de Saint-Étienne,Saint-Étienne,France"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3109\/00016357.2016.1151547"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.2319\/100914-722.1"},{"key":"ref3","article-title":"Machine learning in dentistry, Part iii, Chapter 6, Ching-Chang Ko \u2022 Dinggang Shen \u2022 Li Wang"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1260\/2040-2295.5.4.411"},{"issue":"6","key":"ref5","first-page":"513","article-title":"Consistency of patient classification in orthodontic diagnosis and treatment planning","volume":"68","author":"Luke","year":"1998","journal-title":"The Angle Orthodontist"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ajodo.2015.07.030"},{"key":"ref7","volume-title":"Artificial intelligence: a modern approach.","author":"Russell","year":"2010"},{"issue":"3","key":"ref8","first-page":"248","article-title":"Artificial intelligence in dentistry: current applications and future perspectives","volume":"51","author":"Chen","year":"2020","journal-title":"Quintessence Int"},{"key":"ref9","volume-title":"An introduction to statistical learning with applications in R.","author":"James","year":"2013"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.12816\/0059360"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-38439-w"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1111\/ocr.12502"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/B978-044452855-1\/50014-3"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/c2018-0-02190-8"},{"issue":"8","key":"ref15","first-page":"14","article-title":"A novel SVM based CSSFFS feature selection algorithm for detecting breast cancer","volume":"31","author":"Aruna","year":"2011","journal-title":"International journal of computer applications"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1038\/nbt1206-1565"},{"issue":"4","key":"ref17","first-page":"418","article-title":"Evaluation of decision tree classifiers on tumor datasets","volume":"2","author":"Sujatha","year":"2013","journal-title":"International Journal of Emerging Trends & Technology in Computer Science"},{"key":"ref18","article-title":"Decision Trees: An Overview and Their Use in Medicine Vili Podgorelec, Peter Kokol, Bruno Stiglic & Ivan Rozman"},{"key":"ref19","article-title":"Random Forest","year":"2022"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-10-S1-S22"},{"key":"ref21","article-title":"Naive Bayes classifier","year":"2022"},{"key":"ref22","article-title":"Application of the Naive Bayesian Classifier in Work on Sentimental Analysis of Medical Data","volume-title":"IDDM","author":"Boyko"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICIT.2007.41"},{"key":"ref24","article-title":"k-nearest neighbors algorithm","year":"2022"},{"key":"ref25","article-title":"Artificial Neural Network","year":"2022"},{"key":"ref26","article-title":"Support Vector Machine","year":"2022"}],"event":{"name":"2022 IEEE International Conference on Big Data (Big Data)","location":"Osaka, Japan","start":{"date-parts":[[2022,12,17]]},"end":{"date-parts":[[2022,12,20]]}},"container-title":["2022 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10020192\/10020156\/10021045.pdf?arnumber=10021045","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T02:17:33Z","timestamp":1710382653000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10021045\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,17]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/bigdata55660.2022.10021045","relation":{},"subject":[],"published":{"date-parts":[[2022,12,17]]}}}