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Pulse Insight Prognosticator: an IoT Network-Powered System for Precise Cardiovascular Disease Prediction and Management

EasyChair Preprint 12948

6 pagesDate: April 8, 2024

Abstract

Pulse Insight Prognosticator is an innovative system poised to redefine cardiovascular healthcare through the integration of Internet of Things (IoT) networks. With cardiovascular diseases (CVD) remaining a significant global health concern, there is a pressing need for proactive and precise prediction strategies to mitigate risks and improve outcomes. Pulse Insight Prognosticator addresses this need by harnessing IoT technology to enable real-time monitoring of physiological parameters and predictive analytics for CVD risk assessment. This abstract provides an overview of Pulse Insight Prognosticator, highlighting its role in revolutionizing cardiovascular disease prediction and management through IoT-driven strategies. Central to the functionality of Pulse Insight Prognosticator is its ability to continuously monitor key physiological indicators through a network of interconnected devices. Leveraging IoT-enabled sensors and wearables, the platform collects data on vital signs, physical activity levels, and other relevant health metrics, providing a comprehensive picture of an individual's cardiovascular health status. This real-time monitoring capability enables early detection of potential cardiovascular risks, facilitating timely interventions to prevent adverse outcomes.

Keyphrases: Cardiovascular, Disease, prediction

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:12948,
  author    = {Robert Thomas and Kurez Oroy},
  title     = {Pulse Insight Prognosticator: an IoT Network-Powered System for Precise Cardiovascular Disease Prediction and Management},
  howpublished = {EasyChair Preprint 12948},
  year      = {EasyChair, 2024}}
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