ISSN:2582-5208

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Paper Key : IRJ************062
Author: Poornima A H,Ananya Baby,Shamna R K
Date Published: 05 Nov 2024
Abstract
The proposed system is an integrated healthcare platform designed to automate disease prediction and streamline patient-doctor interactions. Users can register, input symptoms for various categorized diseases such as chronic, infectious, and lifestyle-related diseases and receive predictions with confidence scores through disease-specific algorithms. The system facilitates appointment bookings with specialized doctors, secure communications, and post consultation feedback to refine its machine learning models. Key modules include user registration, symptom input, disease prediction, doctor management, appointment booking, feedback, communication, and history viewing. The system also takes into account user location to suggest nearby doctors and healthcare facilities, enhancing the accuracy and relevance of its recommendations. This platform enhances healthcare accessibility, enabling users to consult doctors from home, saving time and reducing costs. And this version incorporates the user location feature and the categorization of diseases, which strengthens the system's functionality.
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