MedoDoc – Disease Prediction & Doctor Suggestor Website using Machine Learning
MedoDoc is an innovative healthcare platform that combines advanced technology and machine learning to transform patient care. Using the MERN stack (MongoDB, Express, React, Node.js) for scalability, MedoDoc provides an intuitive and user-friendly interface for patients seeking reliable disease predictions and consultations with medical experts. At its core, the platform utilizes a machine learning model deployed with Flask, along with the Random Forest and Support Vector Classifier (SVC) algorithms to deliver accurate disease predictions based on patient data. MedoDoc’s primary goal is to bridge the gap between patients and healthcare providers by enabling early and precise disease identification, which can significantly improve patient outcomes. Upon receiving a prediction, patients are guided toward booking consultations with relevant specialists, ensuring timely medical intervention. This approach not only enhances the accessibility of healthcare services but also provides the patient’s journey from diagnosis to consultation. MedoDoc offers a dynamic platform for healthcare professionals to expand their practice, reach more patients, and provide consultations. It also serves as an invaluable resource for new practitioners looking to gain experience by offering affordable consultations, thereby helping them establish themselves in the medical field. This ensures that both patients and doctors’ benefit from a system that is accurate, accessible, and efficient, ultimately contributing to a more connected and effective healthcare ecosystem.
Authors
- Saraswati Jadhav
- Bhushan Bachewar
- Aayush Gadiya
- Shreya Barsude
- Harsh Badgandi
Publication Details
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1109/icisaa62385.2024.10829283
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00