scholarly journals COGNITIVE SYSTEM OF THE HEPATORENAL SYNDROME SCREENING IN PERSONS WITH ALCOHOL ABUSE

2014 ◽  
pp. 132-140
Author(s):  
Alexey Lagunov ◽  
Darina Lagunova ◽  
Irina Berdennikova

Increase in alcohol consumption is observed in all countries of the world. Over the past 20 years, consumption of alcohol correlated with the level of mortality from liver cirrhosis. Under the hepatorenal syndrome understand the primary lesion of the liver with subsequent involvement in the painful process of kidney tissue. In order to detection of hepatorenal syndrome in medical practice screening laboratory markers carried out manually. Introduction of medical information system can significantly improve the process of detecting disease in patients. The authors were unable to find an analogue of medical information system for the purpose of screening for hepatorenal syndrome. Analysis of the process of screening laboratory markers of hepatorenal syndrome allowed to create a client-server intelligent information system based on the Java SE platform using the management system database Firebird. Tests were carried out Arkhangelsk City Clinical Hospital № 1. Testing has shown that the time of diagnosis was reduced in comparison with traditional methods at 69%, with fewer specialists, while job satisfaction of physicians increased by 23%. Diagnostic accuracy hepatorenal syndrome is not dependent on the method of diagnosis. Testing program showed that the data that gives our program coincide with those of health professionals.

2021 ◽  
Vol 2142 (1) ◽  
pp. 012017
Author(s):  
M O Rusakov ◽  
O S Krotova

Abstract The article is devoted to the development of a medical information system (MIS) designed to monitor and predict hypopituitarism in children and teenagers. MIS combines the medical information storage and management system with an intellectual system of medical decision-making support. The information system is based on a database with information obtained from impersonal medical discharge papers of children and adolescents of the Altai Territory diagnosed with hypopituitarism. Medical discharge papers provide information about the patient’s health status while in the hospital, the results of examinations and treatment. Discharges form a complete medical history of the patient, and the information system allows assessing the disease in dynamics. The purpose of the intelligent information system is to predict the patient's growth in order to select the optimal treatment strategy. The intelligent decision support system is based on a machine-learning model trained on data from a database. The model was trained in the Python programming language. The MIS interface is developed using the C # programming language. The use of MIS in medical institutions will allow doctors to carry out a personalized approach to the monitoring and predicting the growth for patients, and to choose the optimal trajectory of treatment.


1970 ◽  
Vol 09 (03) ◽  
pp. 149-160 ◽  
Author(s):  
E. Van Brunt ◽  
L. S. Davis ◽  
J. F. Terdiman ◽  
S. Singer ◽  
E. Besag ◽  
...  

A pilot medical information system is being implemented and currently is providing services for limited categories of patient data. In one year, physicians’ diagnoses for 500,000 office visits, 300,000 drug prescriptions for outpatients, one million clinical laboratory tests, and 60,000 multiphasic screening examinations are being stored in and retrieved from integrated, direct access, patient computer medical records.This medical information system is a part of a long-term research and development program. Its major objective is the development of a multifacility computer-based system which will support eventually the medical data requirements of a population of one million persons and one thousand physicians. The strategy employed provides for modular development. The central system, the computer-stored medical records which are therein maintained, and a satellite pilot medical data system in one medical facility are described.


2015 ◽  
Vol 11 (12) ◽  
pp. 73-79
Author(s):  
I.D. Duzhyi ◽  
◽  
V.V. Gorokh ◽  
O.V. Trubilko ◽  
S.V. Kharchenko ◽  
...  

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