Paper Title
Healthcare Chatbot System
Article Identifiers
Authors
MD ISTIYAK ALAM ANSARI , Mark Lawrence , Mohd Aman , Dr.Saurabh Kumar
Keywords
Health care chatbot , python , Disease Prediction , Personalized solution , Machine learning , user trust , pandas, sk-learn.
Abstract
This paper presents the development and implementation of an AI-powered healthcare chatbot system designed to offer efficient and personalized medical assistance. Employing Python in PyCharm IDE and Flask framework, the system facilitates user login, symptom input, accurate disease predictions, tailored solutions, and doctor recommendations. Leveraging Pandas, NumPy, Sklearn, and gensim libraries, machine learning algorithms drive disease prediction and solution recommendation functionalities. Evaluation results demonstrate commendable accuracy in disease prediction and relevance in solution provision. Ethical considerations, encompassing data privacy and user trust, are meticulously addressed, marking a significant advancement in enhancing healthcare accessibility and paving the way for future developments in AI-driven healthcare services.
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How To Cite (APA)
MD ISTIYAK ALAM ANSARI, Mark Lawrence, Mohd Aman, & Dr.Saurabh Kumar (March-2024). Healthcare Chatbot System. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(3), b403-b407. https://ijnrd.org/papers/IJNRD2403146.pdf
Issue
Volume 9 Issue 3, March-2024
Pages : b403-b407
Other Publication Details
Paper Reg. ID: IJNRD_209449
Published Paper Id: IJNRD2403146
Downloads: 000121995
Research Area: Computer Science & TechnologyÂ
Country: Greater Noida/ Gautum Budh Nagar, uttar pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2403146.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403146
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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