Articles from rubric: «Intelligence analysis in healthcare »
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2017 № 3 Portrait method as technology for development of decision making systems for diagnostics and differential diagnostics in clinical practice
Among the various technologies for the development of expert systems, the portrait method, originally pro- posed by E.V. Gubler. The authors have long used a portrait method for formalizing medical information when creating expert systems for diagnosis and differential diagnosis of diseases. When forming the knowledge base, the clinico-log- ical, expert and clinical-expert approach in the formation of a portrait of the disease is used. This article is enlightened on the description of the methodology for applying the portrait method in the development of expert systems. The features of forming the knowledge base and the algorithm of the solver work are considered
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2017 № 3 Analysis and forecasting of socially dangerous acts committed by psychiatric patients by dint of modern mathematical methods
The article considers the possibility of analyzing and forecasting socially dangerous acts committed by psychiatric patients by dint of modern mathematical methods. The review of modern methods of analysis and forecasting of time series is presented. An algorithm for forecasting socially dangerous acts committed by psychiatric patients according to the data of the regional forensic psychiatric expert service of the Tyumen region for the last 16 years has been developed with a total of 17967 examinations and an example of its program implementation is presented. Considered eight times of the series, the optimal model of which is selected from 188 in no less than 30 seconds. To assess the adequacy of the forecast, the model data obtained on the basis of the 15-year time series with the actual ones for 2016 were compared. All the mathematical models obtained confirmed the absence of significant differences in the Mann-Whitney U-test at significance level p = 0,05. Examples of interpretation of possible forecasts and examples of scientifically grounded management decisions are given.
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2017 № 3 De-identification of Personal data in Health care
The methods of de-identification: anonymization and pseudonymization of personal data in information systems in health care. Lists the key normative documents and standards defining the requirements for the protection of personal data and their depersonalization. Described embodiments and examples of the use of technology pseudonymization in health care. Formulated proposals for the introduction of methods of pseudonymization in health care