Table of contents
🤔 Problem Statement
In response to the evolving needs of healthcare management, I led the development of "Cure for Sure," a hospital management web app, aiming to streamline appointment booking and introduce advanced functionalities such as disease prediction, data analysis, and patient data management.
🔎 Solution Developed
My primary task was to design and implement a machine learning model for disease prediction based on symptoms. Additionally, I took charge of developing an analytical dashboard tailored for doctors and administrators, offering insights into patient treatment outcomes and disease trends.
📝 Approach
Implemented a robust machine learning model using Python to predict diseases, enhancing diagnostic accuracy for doctors and optimizing patient care. Simultaneously, developed an analytical dashboard with advanced data visualization tools, providing doctors with a patient-centric view and administrators with comprehensive insights into disease trends across demographics.
🚀 Results
The disease prediction model significantly improved diagnostic capabilities, contributing to more effective treatment planning. The analytical dashboard empowered doctors to efficiently manage their patient caseload, while administrators gained actionable insights into disease trends by age group, gender, city, and season. The holistic impact led to enhanced decision-making and strategic healthcare management within the Cure for Sure platform.
All the project files and code for this project can be found right here.
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