Abstract: This project focuses on improving medical disease identification through a chatbot built over linked data, overcoming challenges like understanding user queries and supporting multiple knowledge bases. It first designs an interactive user interface architecture for smooth interaction. Then, it proposes a machine learning approach combining intent classification and natural language understanding to accurately interpret user intents and generate SPARQL queries. By leveraging these technologies, the project aims to revolutionize medical disease identification, offering a sophisticated tool for healthcare decision-making and support.

Keywords: Chatbot, Deep Learning, LSTM, Python, Natural Language Processing, Intent Classification, Recurrent Neural Network, Dataset, JSON, Conversation.

Cite:
G.Venkateswari, G.Manisha, B.Jhansi, G.Navya Sri,"MEDICAL DISEASE IDENTIFICATION USING NLP", IARJSET International Advanced Research Journal in Science, Engineering and Technology, vol. 11, no. 3, 2024, Crossref https://doi.org/10.17148/IARJSET.2024.11336.

| DOI: 10.17148/IARJSET.2024.11336