International Journal of Technology and Applied Science

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Volume 17 Issue 4
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Heart Disease Prediction Application with Emergency First Aid Support

Author(s) Mr. Suryavamshi Sandeep Babu, Maddenapelli Srinitha, Siddavarapu Sanjana, Pola Prasagna, Kudimetha Nikhitha
Country India
Abstract Heart disease remains one of the leading causes of death worldwide, making early risk assessment essential for effective prevention. This paper presents a mobile-based heart disease prediction system that uses a weighted risk scoring approach to evaluate user health conditions. The system analyzes key health parameters such as age, blood pressure, cholesterol, and lifestyle factors by assigning predefined weights and calculating an overall risk score. Based on this score, users are classified into different risk levels, enabling quick and transparent decision-making. The application is developed using React Native and utilizes AsyncStorage for local data storage, ensuring fast performance and offline accessibility. Additional features such as chatbot assistance and emergency support enhance user interaction and usability. The proposed system provides a simple, efficient, and interpretable solution for early heart disease risk assessment and promotes preventive healthcare awareness.
Keywords Heart Disease Prediction, Weighted risk scoring system, Mobile Application
Field Engineering
Published In Volume 17, Issue 4, April 2026
Published On 2026-04-12
Cite This Heart Disease Prediction Application with Emergency First Aid Support - Mr. Suryavamshi Sandeep Babu, Maddenapelli Srinitha, Siddavarapu Sanjana, Pola Prasagna, Kudimetha Nikhitha - IJTAS Volume 17, Issue 4, April 2026.
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