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
- Nikita Niteen , Juby Mathew, Securing AI: Understanding and Defending Against Adversarial Attacks in Deep Learning Systems , International Journal on Emerging Research Areas: Vol. 3 No. 2 (2023): IJERA
- Kaveri S, Pooja Satheesh, Kesiya Susan John, Reubel K Wilson, Dr. Jacob John, Predictive Maintenance of Machines Using IoT and Machine Learning , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Lis Jose , Achyuth P Murali, Christin Joseph Shaji, Christy Kunjumon Peter , Multiple Detection and Diagnosis of Skin Diseases using CNN , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Mekha Jose, Jocelyn Anthony, Jose V Joseph, Joshwa Thomas, Sharon Baby Thomas, A Review of Machine Learning and Deep Learning Approaches for Offensive Text Detection , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Nikita Niteen , Simy Mary Kurian, Exploring Explainable AI, Security and Beyond : A Comprehensive Review , International Journal on Emerging Research Areas: Vol. 3 No. 2 (2023): IJERA
- Dipjyoti Deka, Rituparna Seal, Shubham Banik, Unmasking Fraudulent Job Ads: A Critical Review of Machine Learning Techniques for Detecting Fake Jobs , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Asha Joseph, Deep Learning for Cyber Threat Detection , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Aron Thomas , Abhinav B Kannanthanam , Elzabeth Bobus , Adhil Salim , Elizabeth Jullu , R Neenu, A Hybrid SQL Query Execution Model for JSON Data: Balancing Resource Efficiency and Analytical Performance , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Juby Mathew, Maria Jojo, Neha Ann Samson, Noell Biju Michael, Ron T Alumkal, PulseSync: IoT-Enabled Monitoring and Predictive Analytics for Healthcare , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Lis Jose, Polarity Classification of Malayalam Document-A Rule Based Approach , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
You may also start an advanced similarity search for this article.