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Machine learning gets utilized to predict patient satisfaction with the outcomes of multidisciplinary orthodontic treatment
Abstract
Malocclusions are diffi cult to treat and necessitate close coordination between specialists as well as in the doctor-patient relationship system. The degree of agreement between the patient's objective condition and his or her subjective impression of it will determine how well the patient will accept the complex treatment's results. An algorithm based on machine learning technology was developed that can predict the patient satisfaction level with the outcome of diffi cult rehabilitation. The algorithm was developed using retrospective data refl ecting patients' objective need and subjective demand before and after treatment of malocclusions.
About the Authors
N. A. Byzov
НМИЦ «ЦНИИС и ЧЛХ»
Russian Federation
Russian Federation
I. V. Gunenkova
НМИЦ «ЦНИИС и ЧЛХ»
Russian Federation
Russian Federation
A. M. Dybov
ФГБУ ДПО «ЦГМА»
Russian Federation
Russian Federation
V. A. Malygin
«Robocash»
Croatia
Croatia
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Review
For citations:
Byzov N.A., Gunenkova I.V., Dybov A.M., Malygin V.A. Machine learning gets utilized to predict patient satisfaction with the outcomes of multidisciplinary orthodontic treatment. Orthodontia. 2023;(3):32-38. (In Russ.)
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