论文信息 - Formalization of the stages of diagnostic and therapeutic measures in decision support systems in medicine

Formalization of the stages of diagnostic and therapeutic measures in decision support systems in medicine

The purpose of this study is to formalize the stages of diagnostic and therapeutic measures in the design of computer decision support systems in medicine. Functional, structural and mathematical models of diagnostic and treatment measures are developed with the aim of increasing the efficiency of medical services and minimizing the risks of medical errors. Analysis of diagnosed states in the space of medical actions allowed developing a method of hierarchical clustering of diagnoses in the space of medical actions and substantiating the threshold values of permissible uncertainties in the diagnostic decision rule.

[1] Aron Burlibay,et al. Design of decision support system when undertaking medical-diagnostic action , 2015, Optical Fibers and Their Applications.

[2] Waldemar Wójcik,et al. Information Technology in Medical Diagnostics , 2017 .

[3] A. Filatova,et al. Development of alternative diagnostic feature system in the cardiology decision support systems , 2016 .

[4] Yüksel Özbay,et al. A novel approach for classification of ECG arrhythmias: Type-2 fuzzy clustering neural network , 2009, Expert Syst. Appl..

[5] Waldemar Wójcik,et al. Research of alternative diagnostic features in intelligent computer-based cardiological decision support systems , 2017 .

[6] K. Sadegh-Zadeh. The Logic of Diagnosis , 2011 .

[7] R. John,et al. Fuzzy Methods and Medical Diagnosis , 2004 .

[8] Saule Smailova,et al. Grayscale morphological filter based on local statistics , 2017, Symposium on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments (WILGA).

[9] Marek R. Ogiela,et al. Intelligent image content semantic description for cardiac 3D visualisations , 2011, Eng. Appl. Artif. Intell..

[10] Waldemar Wójcik,et al. Diagnostic efficiency of Mueller-matrix polarization reconstruction system of the phase structure of liver tissue , 2015, Optical Fibers and Their Applications.