International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Healthcare Chat Bot for Identifying Diseases and Providing Referrals Using Machine Learning

Pamudu RatnayakeUndergraduate, Faculty of Computing, Sri Lanka Institute of Information Technology, Western Province, Sri LankaHansani BandaraUndergraduate, Faculty of Computing, Sri Lanka Institute of Information Technology, Western Province, Sri LankaOshini CoorayUndergraduate, Faculty of Computing, Sri Lanka Institute of Information Technology, Western Province, Sri LankaChamathka AriyarathnaUndergraduate, Faculty of Computing, Sri Lanka Institute of Information Technology, Western Province, Sri LankaSuriyaa KumariLecturer, Faculty of Computing, Sri Lanka Institute of Information Technology, Western Province, Sri LankaRavi SupunyaLecturer, Faculty of Computing, Sri Lanka Institute of Information Technology, Western Province, Sri Lanka

Vol 7 No 6 (2023): Volume 7, Issue 6, June 2023 | Pages: 115-122

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 20-06-2023

doi Logo doi.org/10.47001/IRJIET/2023.706018

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Abstract

Healthcare chatbots have the potential to revolutionize healthcare by providing accessible, affordable, and personalized medical advice and support to individuals. In this research paper, we propose a healthcare chatbot system that uses machine learning algorithms to identify diseases and provide appropriate referrals to patients. The proposed chatbot is designed to interact with patients via natural language processing (NLP) and answer their questions related to their symptoms and other relevant factors. The system uses a deep learning-based approach to analyze patient data and provide accurate and personalized recommendations. The proposed chatbot system was evaluated using a dataset of medical records from patients with various diseases such as dengue, influenza, nail diseases. The evaluation results showed that the proposed system achieved high accuracy in identifying diseases and providing referrals. Furthermore, the system was able to provide personalized recommendations based on patients' unique symptoms and other relevant factors. The proposed healthcare chatbot system has the potential to improve healthcare delivery by providing quick and personalized medical advice and support to patients. The system's ability to identify diseases like nail diseases, acne diseases, covid-19, dengue, influenza and provide first aid using machine learning algorithms can help healthcare providers diagnose diseases at an early stage and provide timely and effective treatment to patients. Additionally, the proposed chatbot system can be easily integrated into existing healthcare systems, making it accessible to a broader population.

Keywords

Image Processing, Transfer Learning, Random-forest


Citation of this Article

Pamudu Ratnayake, Hansani Bandara, Oshini Cooray, Chamathka Ariyarathna, Suriyaa Kumari, Ravi Supunya, “Healthcare Chat Bot for Identifying Diseases and Providing Referrals Using Machine Learning” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 6, pp 115-122, June 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.706018

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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