Chatbot-Enabled Symptom Assessment: Revolutionizing Disease Diagnosis and Patient Care
Abstract
The field of healthcare has witnessed remarkable
advancements in recent years, driven by the integration of
cutting-edge technologies into traditional medical practices. One
such innovation that has garnered significant attention is the
development of chatbots, powered by advanced natural language
processing (NLP) and machine learning techniques. These
chatbots have proven to be valuable tools for enhancing the
diagnostic process by engaging in conversations with patients,
extracting essential information about their physical symptoms,
and even assessing their emotional well-being. This paper
introduces an innovative web application called CareConnect:
Empowering Health Enhancing Care, that harnesses chatbot
technology to efficiently assess symptoms and analyze patient
emotions. By engaging in conversations with patients, chatbots
extract critical information about physical well-being and
emotional states, transforming this data into comprehensive
reports for evaluation and diagnosis by medical professionals.
Through this integration of technology and healthcare expertise,
our system not only enhances patient access to medical advice but
also highlights the transformative potential of AI-driven tools in
early and accurate disease diagnosis
Keywords:
Chatbots, Natural Language Processing (NLP), Medical Data Analysis, AI-Driven DiagnosticsPublished
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Copyright (c) 2024 International Journal on Emerging Research Areas

This work is licensed under a Creative Commons Attribution 4.0 International License.
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