Pulse Prognosticator: Harnessing IoT Networks for Advanced Cardiovascular Disease Prediction and Recommendation

EasyChair Preprint no. 12950

Abstract

This paper delves into the transformative capabilities of this innovative technology, which integrates wearable devices and smart sensors to continuously monitor an individual's vital signs, including heart rate, blood pressure, and activity levels. By leveraging real-time data analytics and machine learning algorithms, the Pulse Prognosticator enables early detection of cardiovascular abnormalities and provides personalized recommendations for preventive measures and lifestyle modifications. This paper explores the technical architecture of the Pulse Prognosticator, highlighting its ability to seamlessly integrate with existing healthcare systems and facilitate remote patient monitoring. Furthermore, it discusses the potential impact of this technology in reducing healthcare costs, improving patient outcomes, and promoting proactive management of cardiovascular health.

Keyphrases: and, prediction, Recommendation

@Booklet{EasyChair:12950,
  author = {Jane Smith and Xiang Fang},
  title = {Pulse Prognosticator: Harnessing IoT Networks for Advanced Cardiovascular Disease Prediction and Recommendation},
  howpublished = {EasyChair Preprint no. 12950},

  year = {EasyChair, 2024}}