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This study proposes a device capable of monitoring pulse rate and temperature to create a reliable patient monitoring system for healthcare professionals. The system uses various sensors and a Naïve Bayes classifier to monitor patients who are either hospitalized or performing daily activities. The project aims to create an IoT-based healthcare monitoring system that provides real-time data on a patient's physiological conditions. The system sends email alerts when hardware readings exceed or fall below threshold values. By utilizing multiple sensors and microcontrollers, the system can gather information on a patient's physiological conditions. Additionally, the project aims to incorporate basic machine learning capabilities for predicting heart attacks and providing necessary medical advice.
Keywords:
Alert Generation System ,portable healthcare assistant
Cite Article:
"Heart Disease Prediction System through IOT", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1160 - 1163, April-2023, Available :http://www.ijrti.org/papers/IJRTI2304189.pdf
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000205350
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator