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@article{174324,
        author = {Aarti Himmat Mulik and Prof. Shital Dipak Jadhav and Arpita Rajendra Sartale and Rajlaxmi Shivaji Patil and Sanika Lalaso Mohite},
        title = {MULTIPLE DISEASE PREDICTION USING MACHINE LEARNING},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {4075-4077},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174324},
        abstract = {The Multi-Disease Prediction System (MDPS) aims to utilize the power of machine learning (ML) algorithms, particularly Logistic Regression and Support Vector Machines (SVM), to predict the likelihood of developing multiple diseases. The system is designed with a Streamlit interface, making it user-friendly and accessible for individuals to predict the onset of conditions such as diabetes, heart disease, and Parkinson's disease. The goal is to create an efficient and accurate tool that not only assists in early detection but also promotes personalized healthcare by identifying the risk factors related to these diseases.This approach considers key health indicators like blood pressure, pulse rate, cholesterol levels, and heart rate to predict disease risks. Through a model that achieves reliable accuracy and precision, the system identifies underlying patterns and provides predictions based on these health parameters. The research emphasizes the potential impact of machine learning on public health, particularly in enhancing disease prediction and management.While many algorithms exist for predicting individual diseases, the unique focus of this paper is the development of a system capable of predicting multiple diseases simultaneously. The system, trained using sample data, allows for more comprehensive health assessments, contributing to proactive healthcare decisions and better disease prevention strategies.},
        keywords = {Streamlit, Machine Learning, Diabetes, Heart Disease, Parkinson’s Disease, SVM, Logistic Regression.},
        month = {March},
        }