AI-Driven Chatbot for Virtual Health Assistance and Symptom Analysis for Common Illnesses

Artificial intelligence (AI) has evolved from a technology to a field within the healthcare industry. enabling early symptom analysis using creative tools to promote easy access to medical information. This study proposes an AI-Driven health assistance chatbot that is built with React Native to provide interactive medical advice and information using mobile devices. The chatbot utilizes Natural Language Processing (NLP) to understand user symptoms, with machine learning to give a preliminary assessment using pre-trained medical data from API. The chatbot does not replace professional medical advice. The chatbot utilizes Firebase Database to guarantee reliability and data security. The study was conducted at different hospitals in Makati, Manila, and Davao to reduce bias and ensure that data came from a variety of locations and medical institutions. The evaluation findings showed a great amount of user satisfaction, showing an overall score of 4.65 out of 5 in different categories. Categories include accuracy, functionality, and compatibility. Respondents consist of healthcare professionals, medical staff, and individuals. Participants complimented the chatbot’s accuracy and design of being a user-friendly. Overall, the chatbot shows positive results for its short response time and portability of it. Although improvements are still needed for future studies.

Authors

Publication Details

Journal
International Journal of Research and Innovation in Applied Science
Published
2025-01-01
DOI
https://doi.org/10.51584/ijrias.2025.100800173
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Driven Chatbot for Virtual Health Assistance and Symptom Analysis for Common Illnesses

Ronald Fernandez, Carlos Ramírez, Adrián Santos, Tyrone C. Pascual et al.
International Journal of Research and Innovation in Applied Science
Machine Learning in Healthcare
article

AI-Driven Chatbot for Virtual Health Assistance and Symptom Analysis for Common Illnesses

Ronald Fernandez, Carlos Ramírez, Adrián Santos, Tyrone C. Pascual, Chariss Layola
article en

Abstract

Artificial intelligence (AI) has evolved from a technology to a field within the healthcare industry. enabling early symptom analysis using creative tools to promote easy access to medical information. This study proposes an AI-Driven health assistance chatbot that is built with React Native to provide interactive medical advice and information using mobile devices. The chatbot utilizes Natural Language Processing (NLP) to understand user symptoms, with machine learning to give a preliminary assessment using pre-trained medical data from API. The chatbot does not replace professional medical advice. The chatbot utilizes Firebase Database to guarantee reliability and data security. The study was conducted at different hospitals in Makati, Manila, and Davao to reduce bias and ensure that data came from a variety of locations and medical institutions. The evaluation findings showed a great amount of user satisfaction, showing an overall score of 4.65 out of 5 in different categories. Categories include accuracy, functionality, and compatibility. Respondents consist of healthcare professionals, medical staff, and individuals. Participants complimented the chatbot’s accuracy and design of being a user-friendly. Overall, the chatbot shows positive results for its short response time and portability of it. Although improvements are still needed for future studies.

International Journal of Research and Innovation in Applied ScienceVol. X(VIII)
Openalex Percentile: Top 86%
Machine Learning in Healthcare
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