Ai Driven Quality Care Assessment System

Authors: Dr. Rajkumar, Vaidik Tyagi, Somaydeep, Anish Afridi , Shubham Kumar, Md Atakarim

Abstract: The Ai Driven Quality care Assessment System is a revolutionary web application that leverages machine learning algorithms to predict patient health risks with 97% accuracy, categorizing them as Low, Medium, or High. This system utilizes a trained Random Forest classifier and is built using Python, Flask, and scikit-learn, with a modern responsive design using Bootstrap 5 and interactive visualizations powered by Plotly.js. The system provides real-time risk assessment, interactive data visualizations, and clinical recommendations, making it an ideal application for hospital emergency departments, clinic patient monitoring systems, and telemedicine platforms. The system's advanced analytics dashboard provides comprehensive model performance metrics and feature importance analysis, while its RESTful API enables seamless integration with other healthcare systems. As demonstrated in Fig 1, the system's architecture showcases professional software development practices, and its applications extend to educational settings as a perfect final year project for computer science students, machine learning course demonstrations, and healthcare informatics research projects, as supported by previous studies [1], [2].

DOI: http://doi.org/10.5281/zenodo.20672662