ДЕНСАУЛЫҚ ПАСПОРТЫ БАҒДАРЛАМАЛЫҚ ЖҮЙЕСІНІҢ ЕСЕПТЕУ-АНАЛИТИКАЛЫҚ МОДУЛЬДЕРІН ЭКСПЕРИМЕНТТІК ЗЕРТТЕУ
Keywords:
health passport, clinical decision support, medical data analysis, medical diagnosis, clinical hematologic syndrome, analytical module, machine learning algorithm.Issue
Section
Abstract
The article describes the computational and analytical modules of the Health Passport software system, which is an innovative solution for automating data processing of laboratory tests, diagnosis of clinical and hematologic syndromes and patient management using both traditional techniques and artificial intelligence. The system includes various modules for collecting, processing and analyzing medical information, which allows to efficiently diagnose clinical and hematological syndromes and improve diagnostic accuracy. The main components of the complex include modules for working with the database, preprocessing and mathematical data processing, as well as analytical modules for morphological classification and application of machine learning. Implementation of the complex contributes to a significant improvement in the quality of medical services in clinical diagnostic centers, laboratories and hospitals.
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