2018
DOI: 10.31393/bba30-2018-10
|View full text |Cite
|
Sign up to set email alerts
|

Modeling using regression analysis of linear sizes of molars depending on the cephalometric indices of practically healthy men of the Northern and Southern regions of Ukraine

Abstract: For more precise odontometry, taking into account the individual craniotypologicalfeatures of the patient, mathematical modeling should be used, which will significantlyimprove the quality of the medical diagnostic and treatment process in orthodontics. Thepurpose of the study is to construct and analyze a regression model of computed-tomographic size of molars, depending on the features of cephalometric indices ofpractically healthy men of the Northern and Southern regions of Ukraine. Computed-tomographic stu… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 0 publications
0
1
0
Order By: Relevance
“…Пирогова "Вісник Вінницького національного медичного університету", 2021, Т. 25, №2 ІSSN 1817-7883 eІSSN 2522-9354 number of studies with modeling of individual linear sizes of teeth depending on cephalometric indicators [16,17,22], indicators required for the design of the correct shape of dental arches [20] and modeling of individual cephalometric and gnatometric indicators used in various methods TRG analysis [5,6,8,12].…”
Section: Introductionmentioning
confidence: 99%
“…Пирогова "Вісник Вінницького національного медичного університету", 2021, Т. 25, №2 ІSSN 1817-7883 eІSSN 2522-9354 number of studies with modeling of individual linear sizes of teeth depending on cephalometric indicators [16,17,22], indicators required for the design of the correct shape of dental arches [20] and modeling of individual cephalometric and gnatometric indicators used in various methods TRG analysis [5,6,8,12].…”
Section: Introductionmentioning
confidence: 99%