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Using a Decision Tree with a Feedback Function to Select Therapeutic Tactis for Viral Infection of the Respiratory Tract in the Medical Expert System
International Transaction Journal of Engineering Management & Applied Sciences & Technologies ; 13(8), 2022.
Article in English | Web of Science | ID: covidwho-2025681
ABSTRACT
The Electronic Clinical Pharmacologist (ECP) is a Medical Decision Support System (MDSS). This system is based on the Unified Medical Knowledge Base (UMKB), which is updated and updated as new medicines are released and specialized publications are published in peer-reviewed biomedical scientific journals. ECP helps to reduce the risks of medical errors and complications in clinical practice. When using ECP, the number of side effects from the use of medicines decreases, the patient's admission time is reduced, the quality of medical care is improved, the costs of the medical organization for the purchase of medicines are reduced, all this is carried out due to more rational prescriptions of the doctor. The ECP takes into account the personalized approach of drug therapy. Based on Stavropol State Medical University and medical universities of the North Caucasus Federal District, a questionnaire of students was conducted among students of 3-6 courses, as well as testing of the ECP application to compare treatment standards (clinical recommendations) according to the clinical recommendations of the Ministry of Health (outpatient, inpatient treatment) and self-treatment of students and their relatives. And patterns of changes in the course of treatment were also revealed when using MDSS ECP and without it. (C) 2022 INT TRANS J ENG MANAG SCI TECH.
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Full text: Available Collection: Databases of international organizations Database: Web of Science Type of study: Observational study / Prognostic study Language: English Journal: International Transaction Journal of Engineering Management & Applied Sciences & Technologies Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Web of Science Type of study: Observational study / Prognostic study Language: English Journal: International Transaction Journal of Engineering Management & Applied Sciences & Technologies Year: 2022 Document Type: Article