Design and Development of AI-Powered Healthcare WhatsApp Chatbot

Ajith Jerome, B (2023) Design and Development of AI-Powered Healthcare WhatsApp Chatbot. In: 2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN), Vellore, India.

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Abstract

Technology has been increased in massive part of today's healthcare scenario. The advancement and improvement of information and communication technologies had led to increase the usage of chatbots in almost all the healthcare sectors. And the technology has changed the way of communication between the patients and doctors in medical sectors. Nowadays, chatbots were used for computer medical communication in order replace the human agents due to high efficiency and cost effectiveness. Artificial Intelligence (AI) and Chatbots are the two base breaking technologies that have changed the patients and doctors perceive in healthcare. In the field of healthcare sector, the use of AI (Artificial Intelligence) has been explored for automating the applications and appointments for public users. A WhatsApp chatbot is program which can reply to messages automatically on WhatsApp. In this paper, to make the healthcare system more effective, and interactive a diagnostic chatbot is designed and developed using machine learning algorithms, to help the public users in booking, cancelling, and rescheduling the Doctor's appointment based on their timings. This proposed work is used to employ an artificial chatbot, to do a live chat with a patient and users regarding to the medical appointment with the concerned doctors. This application can well be extended from B2B to a B2C utilization, where service providers like doctors, ayurvedic, physiotherapist, psychologist as well as therapist, dietician, nutrition, trainer can cater to specific users. Thus, the indention to more focus on Natural Language Processing (NLP) techniques to improve the chatbot conservation aspects in future studies.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Chatbots; Convolutional neural network; Design and Development; Health chatbot; Healthcare sectors; Information and Communication Technologies; Language processing; Natural language processing; Natural languages; Sentiment analysis
Subjects: A Artificial Intelligence and Data Science > Natural Language Processing
A Artificial Intelligence and Data Science > Big Data
C Computer Science and Engineering > Data Mining
C Computer Science and Engineering > Algorithm Analysis
C Computer Science and Engineering > Neural Networks
Divisions: Computer Science and Engineering
Depositing User: Users 5 not found.
Date Deposited: 25 Jul 2024 10:49
Last Modified: 14 Aug 2024 09:06
URI: https://ir.psgitech.ac.in/id/eprint/842

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