Yosh olimlar 1-jild 15-son (2023) · 28–31-betlar

MONITORING OF HEART DISEASE PATIENTS BASED ON MACHINE LEARNING

Rahimov, N.O., Karaxanova, Sh.A., Saidova, Z.H.

DOI: 10.5281/zenodo.10002609 · Manbada o'qish →

Annotatsiya

The article begins by highlighting the prevalence of heart diseases and the challenges associated with their diagnosis and management. It then delves into the various machine learning approaches, such as supervised and unsupervised learning, deep learning, and ensemble methods, that have been employed for the early detection and risk stratification of heart disease patients. The use of wearable devices and remote monitoring systems for real-time data collection is also discussed, emphasizing their role in enabling continuous patient monitoring.

Heart Disease Patients, Cardiovascular diseases, Risk Stratification, Real-time Data Collection, Machine learning, Predictive Modeling.

Metadata manbasi: jurnal OAI-PMH arxivi · Sindex to'liq matnni saqlamaydi, manbaga havola beradi.