Medical Chatbot for Disease Prediction Using Machine Learning and Symptom Analysis

Oltean Anisia Veronica, Ioan Daniel Pop, Adriana Coroiu

2025

Abstract

This paper emphasizes the transformational role of artificial intelligence in the medical field by studying not only various machine learning algorithms used for symptoms-based disease prediction, but also methods used in conversational artificial intelligence. At its core, the research was carried out as a first step in the development of a medical chatbot that allows patients to receive diagnosis and advice related to various diseases and their possible treatments. In our paper, various machine learning algorithms were compared for predicting diseases based on symptoms, such as Logistic Regression, Random Forests, Decision Trees, Naive Bayes and Multilayer Perceptron, which were evaluated on multiple datasets. Given the lack of publicly available datasets for such a task, a final dataset was generated, achieving satisfactory accuracy values of approximately 80%.

Paper Citation

in Harvard Style

Veronica O., Pop I. and Coroiu A. (2025). Medical Chatbot for Disease Prediction Using Machine Learning and Symptom Analysis. In Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE; ISBN 978-989-758-742-9, SciTePress, pages 600-607. DOI: 10.5220/0013357900003928

in Bibtex Style

@conference{enase25,
author={Oltean Veronica and Ioan Pop and Adriana Coroiu},
title={Medical Chatbot for Disease Prediction Using Machine Learning and Symptom Analysis},
booktitle={Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE},
year={2025},
pages={600-607},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013357900003928},
isbn={978-989-758-742-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: ENASE
TI - Medical Chatbot for Disease Prediction Using Machine Learning and Symptom Analysis
SN - 978-989-758-742-9
AU - Veronica O.
AU - Pop I.
AU - Coroiu A.
PY - 2025
SP - 600
EP - 607
DO - 10.5220/0013357900003928
PB - SciTePress