SmartHeart Advisor: an IoT-Driven Approach to Cardiovascular Risk Prediction

EasyChair Preprint no. 12951

Abstract

SmartHeart Advisor presents an innovative approach to cardiovascular risk prediction by integrating IoT technologies with advanced data analytics. Cardiovascular diseases (CVDs) remain a leading cause of mortality worldwide, emphasizing the critical need for effective risk assessment strategies. Leveraging the ubiquity of IoT devices, this framework gathers real-time physiological data, including heart rate, blood pressure, and activity levels, to continuously monitor individuals' cardiovascular health. Through the application of sophisticated machine learning algorithms, such as deep learning and predictive modeling, SmartHeart Advisor analyzes this multi-dimensional data to identify patterns and trends indicative of potential cardiovascular risks. The system provides personalized risk assessments and timely interventions, empowering individuals to make informed decisions about their health and enabling healthcare providers to deliver proactive and targeted interventions. SmartHeart Advisor represents a significant advancement in cardiovascular risk prediction, offering a scalable and accessible solution to improve population health outcomes.

Keyphrases: Cardiovascular, prediction, Risk

@Booklet{EasyChair:12951,
  author = {Jane Smith and Patrick Evan},
  title = {SmartHeart Advisor: an IoT-Driven Approach to Cardiovascular Risk Prediction},
  howpublished = {EasyChair Preprint no. 12951},

  year = {EasyChair, 2024}}