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This is a Human Clinical Trial study (also classified as: Observational).

Healthcare chatbot using machine learning and natural language processing

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The chatbot achieves an accuracy of 96.47% in assessing symptoms and suggesting health conditions.
Using ensemble learning with algorithms like K-Nearest Neighbors, the chatbot provides personalized health recommendations.
By relieving minor health concerns, the chatbot optimizes healthcare resources for serious medical cases.
This chatbot leverages machine learning and natural language processing to efficiently guide users in health assessments.

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Implementation of a healthcare chatbot improves accuracy for symptom assessment using machine learning and natural language processing.

Lakshmi et al. (2025) studied this question.

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