About this document
Hypertension Monitoring by A Real Time Management System For Patients in Community and Its Data Mining by Vector Autoregressive Model by Aniket is a document available to read on EtoBox.
This study presents a real-time hypertension monitoring system utilizing a vector autoregressive (VAR) model to predict systolic and diastolic blood pressure in patients. The model demonstrated a Mean Absolute Percentage Error (MAPE) of less than 10% for both blood pressure types, indicating its effectiveness in predicting hypertension events. The research emphasizes the importance of continuous monitoring and timely alerts to manage hypertension and prevent acute cardiovascular events.
- Author
- Aniket
- Language
- EN