Disease Outcome Prediction

Registration ID: IJNRD_225589

Published ID: IJNRD2409020

DOI: http://doi.one/10.1729/Journal.41340

Sakethram Marpu , Rafeeq Shaik , Aileen Peeka

Predictive Analytics, Machine learning, Disease outcome prediction, Disease Management. Data traceability

Disease Outcome Prediction is a burgeoning field that amalgamates healthcare and data analytics, offering a transformative approach to predicting and managing diseases. This abstract outlines a user-friendly application that incorporates Decision Trees, Random Forests, Naive Bayes, and k-Nearest Neighbour algorithms for Disease Outcome Prediction. The application, developed using Python's Tkinter library, allows users to input patient symptoms and leverages four distinct machine learning models for disease prediction. The training and testing dataset comprises a variety of symptoms matched to distinct diseases. This application not only aids in understanding and interpreting results but also enables users to explore the relationship between diseases and symptoms. It incorporates a database to store patient data and predictions, ensuring data traceability and facilitating future studies. In conclusion, this abstract underscores how machine learning models can be integrated into an intuitive user interface, advancing predictive disease analytics for better healthcare outcomes.

Published Paper   E-Certificate

Sakethram Marpu, Rafeeq Shaik, & Aileen Peeka (September-2024). Disease Outcome Prediction. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(9), a198-a204. http://doi.one/10.1729/Journal.41340

Volume 9 Issue 9, September-2024

Pages : a198-a204

Paper Reg. ID: IJNRD_225589

Published Paper Id: IJNRD2409020

Downloads: 000121990

Research Area: Health Science 

Country: Bengaluru, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2409020.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2409020

Crossref DOI: http://doi.one/10.1729/Journal.41340

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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Call For Paper - Volume 10 | Issue 10 | October 2025

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