Building a Conversational Chatbot Using Machine Learning

Author:

Solanki Ram Kumar1ORCID,Rajawat Anand Singh1,Gadekar Amit R.1,Patil Manoj Eknath2

Affiliation:

1. Sandip University, Nashik, India

2. SSBT's College of Engineering and Technology, Bambhori, India

Abstract

The healthcare industry is facing numerous challenges in providing efficient and effective care to patients, including increased demand, limited resources, and a growing shortage of healthcare providers. To address these challenges, many healthcare organizations are turning to technology, specifically artificial intelligence (AI) and machine learning (ML), to improve patient care and outcomes. In response, the development of smart chatbots has emerged as a promising solution in the healthcare field. This chapter focuses on the design and implementation of a smart chatbot using AI and ML for healthcare applications. The main goal of the chatbot is to provide a more convenient and accessible method of delivering healthcare information and services to patients. This chapter will also explore the various components and algorithms used in the design of the chatbot, as well as its potential impact on the healthcare industry. Overall, this chapter demonstrates the value of AI and ML in healthcare and encourages further exploration and development of chatbots for healthcare applications.

Publisher

IGI Global

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5. AssureAIDoctor- A Bias-Free AI Bot;2023 International Symposium on Networks, Computers and Communications (ISNCC);2023-10-23

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