人工智能医疗WhatsApp聊天机器人的设计和开发

Prakasam S, N. Balakrishnan, Kirthickram T R, Ajith Jerom B, Deepak S
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引用次数: 0

摘要

在今天的医疗保健场景中,技术已经得到了很大程度的提高。信息和通信技术的进步和改进导致聊天机器人在几乎所有医疗保健部门的使用增加。这项技术改变了医疗部门病人和医生之间的沟通方式。目前,由于聊天机器人具有较高的效率和成本效益,被用于计算机医疗通信,以取代人工代理。人工智能(AI)和聊天机器人是两种突破性的技术,它们改变了患者和医生对医疗保健的看法。在医疗保健领域,已经探索使用AI(人工智能)为公共用户自动化应用和预约。WhatsApp聊天机器人是一个程序,可以在WhatsApp上自动回复消息。为了提高医疗保健系统的效率和互动性,本文设计并开发了一个使用机器学习算法的诊断聊天机器人,以帮助公众用户根据自己的时间预约、取消和重新安排医生的预约。这项提议的工作用于使用人工聊天机器人,与患者和用户就与有关医生的医疗预约进行实时聊天。该应用程序可以很好地从B2B扩展到B2C利用,其中服务提供商,如医生,阿育吠陀,物理治疗师,心理学家以及治疗师,营养师,营养师,培训师可以迎合特定用户。因此,在未来的研究中,需要更多地关注自然语言处理(NLP)技术来改善聊天机器人保护方面的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Development of AI-Powered Healthcare WhatsApp Chatbot
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.
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