DEVELOPMENT OF A DIGITAL MEDICINE REMOTE MONITORING PROGRAM INTEGRATED WITH A NATURAL LANGUAGE PROCESSING APPROACH
DOI:
https://doi.org/10.47390/ts-v4i3y2026N02Keywords:
remote monitoring, natural language processing, NLP, cardiovascular disease, BERT, artificial intelligence, IoT, digital medicine, telemedicine.Abstract
This article addresses the development of a remote cardiovascular disease monitoring system integrated with Natural Language Processing (NLP) technologies. Based on a systematic literature review and comparative analysis of existing approaches, a conceptual model of a universal monitoring system is proposed. The system employs a BERT-based NLP model to automatically analyze patients' verbal complaints and processes them together with clinical indicators from IoT sensors. The proposed architecture enables a reduction in hospital visits and optimization of medical staff workload in monitoring hypertension, arrhythmia, and heart failure. Literature analysis indicates that integrating an NLP component into a monitoring system can increase anomaly detection efficiency by an average of 15-25%.
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