Exploring the Potential of IoT, Machine Learning, and Cloud Computing in Smart Home Applications

This study investigates using machine learning (ML), the Internet of Things (IoT), and cloud computing to predict cardiovascular diseases. Integrating these advanced technologies in healthcare enables the collection, analysis, and real-time response to patient data, enhancing early diagnosis and per...

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Bibliographic Details
Published in2024 International Conference on Advances in Computing Research on Science Engineering and Technology (ACROSET) pp. 1 - 6
Main Authors Mathur, Garima, Savita, Pankaj, Gaur, Neeraj, Vishwakarma, Bhavana, Tripathi, Vaibhav
Format Conference Proceeding
LanguageEnglish
Published IEEE 27.09.2024
Subjects
Cardiovascular diseases
Cloud computing
Intelligent Homes
Internet of Things
IoT
Machine learning
Machine learning algorithms
Medical services
Patient monitoring
Prediction algorithms
Real-time systems
Smart homes
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DOI10.1109/ACROSET62108.2024.10743967

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Summary:This study investigates using machine learning (ML), the Internet of Things (IoT), and cloud computing to predict cardiovascular diseases. Integrating these advanced technologies in healthcare enables the collection, analysis, and real-time response to patient data, enhancing early diagnosis and personalised treatment plans. This paper presents various case studies demonstrating the successful application of ML algorithms, IoT devices, and cloud platforms in cardiovascular disease prediction. The findings highlight significant improvements in prediction accuracy, patient monitoring, and overall healthcare efficiency. Additionally, the study addresses the challenges, opportunities, and future research directions in the field, aiming to provide a comprehensive understanding of the potential of these technologies in transforming cardiovascular healthcare.
DOI:10.1109/ACROSET62108.2024.10743967