Keywords
Monitoring the effectiveness of therapeutic procedures; Internet technologies; Interior; Surrogate marker; Web service; Algorithm; Software
Abstract
The article considers algorithms and methods for constructing decision support systems for forecasting and controlling the effectiveness of living systems management, to ensure the effectiveness of therapeutic procedures (ETP). ETP control is implemented in three stages. At the first stage, surrogate markers are selected, through the monitoring of which a decision is made on ETP. At the second stage, a distributed database is created, which allows the creation of surrogate markers intended for ETP monitoring. At the third stage, a meta analysis of the information collected in the distributed database on surrogate markers is made, which results in a decision on the ETP.
A web service is presented in which surrogate markers are selected based on analysis of intercellular relationships of peripheral blood smears. Algorithmic support of the web service and the structure of its software modules are given. The functional interaction of the developed software modules and the structure of the module for monitoring the dynamics of intercellular relations providing a meta-analysis of the effectiveness of drug prescriptions are described.
To ensure the functioning of the module for the analysis of the dynamics of intercellular relationships in the process of medicinal prescriptions, appropriate procedures for the analysis and classification of images of peripheral blood smears have been developed.
Citation
Tomakova RA, Brezneva AN, Khanykov AE and Alexeev VA. System Decision Support Based on Internet Technologies to Predict Control Living Systems. SM J Biomed Eng. 2018; 4(1): 1026.