학술논문

Predictive Health Assistant: AI-Driven Disease Projection Tool
Document Type
Conference
Source
2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2024 11th International Conference on. :1-6 Mar, 2024
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
Robotics and Control Systems
Signal Processing and Analysis
Heart
Support vector machines
Schedules
Hospitals
Chatbots
Vectors
Reliability
Disease forecasting
Predictions
Heart Disease Prediction
python
Support Vector Machine (SVM)
Language
ISSN
2769-2884
Abstract
This study emphasizes the potential of chatbots in revolutionizing healthcare, particularly in the context of infectious disease management. While hospitals have long been the primary source of medical check-ups, diagnoses, and treatment recommendations worldwide, the rise of chatbots, powered by artificial intelligence, is changing the landscape of healthcare delivery. Chatbots enable users to seek medical information and assistance in a manner like conversing with a human. They are gaining rapid adoption, especially in computer chat platforms. The paper highlights the challenges faced by individuals with busy schedules, who often spend considerable time waiting for doctor appointments, particularly for diseases that require prolonged treatment, such as heart disease. Heart disease remains a prevalent global health issue, causing numerous fatalities every day. The future of healthcare depends on remote data collection, accurate distance diagnoses, and AI-driven data analysis, all of which can significantly enhance both healthcare efficiency and outcomes. The proposed chatbot system aims to empower users by facilitating daily health check-ups, raising health awareness, and encouraging proactive health measures. Despite its potential, this research reveals that such systems are underutilized, and public awareness remains limited. Implementing the proposed framework can reduce the time-consuming process of visiting hospitals, offering a convenient and accessible healthcare solution.