Novel Machine Learning Algorithms for Prediction of Treatment Decisions in Adult Patients With Class III Malocclusion.
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B. Kusnoto | M. Miloro | G. Viana | S. Atici | V. Allareddy | M. H. Elnagar | Samim Taraji
[1] M. Styner,et al. Clinical Decision Support Systems in Orthodontics: A Narrative Review of Data Science Approaches. , 2021, Orthodontics & craniofacial research.
[2] Vivek Muthurangu,et al. The role of artificial intelligence in healthcare: a structured literature review , 2021, BMC Medical Informatics and Decision Making.
[3] Seung-Hyun Jeong,et al. Deep learning based prediction of necessity for orthognathic surgery of skeletal malocclusion using cephalogram in Korean individuals , 2021, BMC oral health.
[4] Michaele M Hammel,et al. Complications or rather side effects? Quantification of patient satisfaction and complications after orthognathic surgery—a retrospective, cross-sectional long-term analysis , 2020, Clinical oral investigations.
[5] D. Normando,et al. Factors associated with the stability of compensatory orthodontic treatment of Class III malocclusion in the permanent dentition. , 2020, American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics.
[6] Satish Vishwanathaiah,et al. Scope and performance of artificial intelligence technology in orthodontic diagnosis, treatment planning, and clinical decision-making - A systematic review , 2020, Journal of dental sciences.
[7] Seok-Ki Jung,et al. Deep Convolutional Neural Networks Based Analysis of Cephalometric Radiographs for Differential Diagnosis of Orthognathic Surgery Indications , 2020, Applied Sciences.
[8] L. Kaban,et al. Orthognathic Surgery and Orthodontics: Inadequate Planning Leading to Complications or Unfavorable Results. , 2020, Oral and maxillofacial surgery clinics of North America.
[9] S. Baek,et al. Artificial Intelligent Model With Neural Network Machine Learning for the Diagnosis of Orthognathic Surgery. , 2019, The Journal of craniofacial surgery.
[10] Zhihe Zhao,et al. Orthodontic Treatment Planning based on Artificial Neural Networks , 2019, Scientific Reports.
[11] Isaac S Kohane,et al. Artificial Intelligence in Healthcare , 2019, Artificial Intelligence and Machine Learning for Business for Non-Engineers.
[12] J. Faber,et al. Treatment decision in adult patients with class III malocclusion: surgery versus orthodontics , 2018, Progress in orthodontics.
[13] R. Cibrián,et al. Orthodontic camouflage versus orthognathic surgery for class III deformity: comparative cephalometric analysis. , 2017, International journal of oral and maxillofacial surgery.
[14] Tianqi Chen,et al. XGBoost: A Scalable Tree Boosting System , 2016, KDD.
[15] P. Ngan,et al. Evolution of Class III treatment in orthodontics. , 2015, American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics.
[16] R. Olszewski,et al. Preoperative, intraoperative, and postoperative complications in orthognathic surgery: a systematic review , 2015, Clinical Oral Investigations.
[17] M. Orellana,et al. Prevalence of angle class III malocclusion: A systematic review and meta-analysis , 2012 .
[18] A. Kolokythas,et al. Management of Complications in Oral and Maxillofacial Surgery , 2012 .
[19] I. Nielsen. Analysis of general facial growth, maxillary and mandibular growth and treatment changes ("Structural analysis"). , 2011, International orthodontics.
[20] R. Abouqal,et al. Treatment of skeletal Class III malocclusions: orthognathic surgery or orthodontic camouflage? How to decide. , 2011, International orthodontics.
[21] A. Stellzig-Eisenhauer,et al. New model for surgical and nonsurgical therapy in adults with Class III malocclusion. , 2011, American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics.
[22] Lin Wang,et al. Artificial neural network modeling for deciding if extractions are necessary prior to orthodontic treatment. , 2010, The Angle orthodontist.
[23] P. Major,et al. Association between growth stunting with dental development and skeletal maturation stage. , 2009, The Angle orthodontist.
[24] L. Franchi,et al. Orthopedic treatment outcomes in Class III malocclusion. A systematic review. , 2008, The Angle orthodontist.
[25] A. Rabie,et al. Treatment in Borderline Class III Malocclusion: Orthodontic Camouflage (Extraction) Versus Orthognathic Surgery , 2008, The open dentistry journal.
[26] James A. McNamara,et al. The Cervical Vertebral Maturation (CVM) Method for the Assessment of Optimal Treatment Timing in Dentofacial Orthopedics , 2005 .
[27] A. Stellzig-Eisenhauer,et al. Treatment decision in adult patients with Class III malocclusion: orthodontic therapy or orthognathic surgery? , 2002, American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics.
[28] Jason Weston,et al. Gene Selection for Cancer Classification using Support Vector Machines , 2002, Machine Learning.
[29] L. Breiman. Random Forests , 2001, Encyclopedia of Machine Learning and Data Mining.
[30] K. Oikarinen,et al. Incidence of complications and problems related to orthognathic surgery: a review of 655 patients. , 2001, Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons.
[31] K. O’Brien,et al. Consistency of orthodontic treatment planning decisions. , 1999, Clinical orthodontics and research.
[32] Sankar K. Pal,et al. Multilayer perceptron, fuzzy sets, and classification , 1992, IEEE Trans. Neural Networks.
[33] N. Altman. An Introduction to Kernel and Nearest-Neighbor Nonparametric Regression , 1992 .
[34] W. Kerr,et al. Class III Malocclusion: Surgery or Orthodontics? , 1992, British journal of orthodontics.
[35] J. A. Jones,et al. Craniofacial Form in Class III Cases , 1992, British journal of orthodontics.
[36] N Mackin,et al. Artificial intelligence in the dental surgery: an orthodontic expert system, a dental tool of tomorrow. , 1991, Dental update.
[37] S. Järvinen. Relation of the Wits appraisal to the ANB angle: a statistical appraisal. , 1988, American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics.
[38] Vladimir Vapnik,et al. Support-vector networks , 2004, Machine Learning.
[39] H. P. Chang,et al. Craniofacial pattern of Class III deciduous dentition. , 1992, The Angle orthodontist.
[40] R A Holdaway,et al. A soft-tissue cephalometric analysis and its use in orthodontic treatment planning. Part I. , 1983, American journal of orthodontics.