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
Issue
Section
License
Copyright (c) 2024 International Journal on Emerging Research Areas

This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Parvathy V A, Irfana Parveen C A, Alisha K A, Reshma P R, Manu Krishna C P, Detection of Diabetic Retinopathy and Glaucoma using Deep Learning , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Amrutha Priya C B, Nitha C Velayudhan, Arjun K S, Aleena Francis, Divya P S, AI Enabled Robot for Data Collection in Unreachable and Extreme Environment , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Amal P Varghese, Simy Mary Kurian, Advancements in ECG Heartbeat Classification: A Comprehensive Review of Deep Learning Approaches and Imbalanced Data Solutions , International Journal on Emerging Research Areas: Vol. 3 No. 2 (2023): IJERA
- V Naveen, S Rekha, A Concise Review On E-Commerce Website For Visually Impaired , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Dr Anil A R, Amit Sankar Arun, Anandhu Anilkumar, Anandu S Sivan, Anoop Manoharan, DESIGNING OF A VOICE – BASED PROGRAMMING IDE FOR SOURCE CODE GENERATION , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Melvin Tom Varghese, Joseph V S, Kevin Chacko, Johns Benny, Tintu Alphonsa Thomas, Crop Recommendation System using Machine Learning and IoT , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Honey Joseph, A Survey and Analysis on Predicting Heart Disease Using Machine Learning Techniques , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Elisabeth Thomas, Arjun Saji, Aswin M S, Augustine Salas, Emil Viju, A Comprehensive Review of Advancing Cattle Monitoring and Behavior Classification using Deep Learning , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Aniruddha Das, Avisikta Modak, The Carbon footprint of Machine Learning Models , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Jefrin Siby Mathew, Joyal Joseph, Roshik George, Tinu Rose Thottungal , Honey Joseph, Multiple Disease Detection using Machine Learning , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
You may also start an advanced similarity search for this article.