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Heart Health Guardian: an IoT-Enhanced Cardiovascular Disease Prediction and Recommendation Platform

EasyChair Preprint no. 12938

7 pagesDate: April 6, 2024


Heart Health Guardian (HHG) is an innovative Internet of Things (IoT)-enhanced platform designed to predict and recommend interventions for cardiovascular disease (CVD) prevention. Cardiovascular diseases remain a leading cause of mortality globally, emphasizing the critical need for proactive and personalized interventions. HHG integrates advanced machine learning algorithms with real-time data streams from IoT-enabled devices to analyze various health parameters, including vital signs, physical activity, and dietary habits. Leveraging this comprehensive dataset, HHG employs predictive analytics to assess an individual's risk of developing CVD. Moreover, the platform generates personalized recommendations tailored to mitigate identified risks, encompassing lifestyle modifications, medication adherence, and timely medical consultations. Through its user-friendly interface and proactive approach, HHG empowers individuals to take control of their heart health, facilitating early intervention and prevention strategies. This abstract elucidates HHG's potential to revolutionize cardiovascular healthcare by amalgamating IoT technology with predictive analytics, fostering a paradigm shift towards proactive, personalized, and data-driven approaches to cardiovascular disease management.

Keyphrases: Cardiovascular, Disease, prediction

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Julia Anderson and Robert Smith},
  title = {Heart Health Guardian: an IoT-Enhanced Cardiovascular Disease Prediction and Recommendation Platform},
  howpublished = {EasyChair Preprint no. 12938},

  year = {EasyChair, 2024}}
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