Development and analysis of diagnostic criteria for creation of an automated computer software for predicting the course and individualizing the treatment of patients with odontogenic maxillary sinusitis
Date
2020
Authors
Voloshan, Olexsandr
Grigorov, Sergiy
Demyanyk, Dmytro
Journal Title
Journal ISSN
Volume Title
Publisher
ALUNA Publishing House
Abstract
The aim of our study was to create a database of the most informative diagnostic criteria for predicting the treatment results for various odontogenic maxillary sinusitis (OMS) forms using automated computer software.
Materials and methods: In order to select and assess the most informative diagnostic criteria for predicting the treatment results for various OMS forms, the total of 9 subject matter experts (SME) were included into the problem commission on the specialty “Dentistry”.
Results: After calculating the data obtained according to the method of Yana V. Nosova, the working group experts’ level of competency was M = 0. 90. This confirmed the group’s qualification, which further led to the approval of scoring coefficients, depending on the degree of a particular index importance. The basic and minor parameters in the subjective, objective, introscopic and laboratory data of OMS patients were identified.
Conclusions: The developed database of diagnostic criteria has formed the basis of an automated computer software for predicting the course and individualizing the patients’ treatment in odontogenic maxillary sinusitis.
Description
Keywords
odontogenic maxillary sinusitis, medical expert systems, computer-aided systems, diagnosis and treatment, computer-based disease prediction
Citation
Voloshan Olexsandr O. Development and analysis of diagnostic criteria for creation of an automated computer software for predicting the course and individualizing the treatment of patients with odontogenic maxillary sinusitis / Olexsandr O. Voloshan, Sergey M. Grigorov, Dmytro S. Demyanyk // Wiadomości Lekarskie. – 2020. – T. LXXIII, N 4. – S. 766-772. – DOI: 10.36740/WLek202004127.