A Machine Learning based Medical Chatbot for detecting diseases

Ritvik Goel, Dilpreet Kaur Arora, V. Kumar, Mohit Mittal
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引用次数: 2

Abstract

In order to detect diseases in an efficient as well as an easy way, we are proposing a medical chatbot framework. This work investigates about the diseases by simply taking various symptoms related to a particular disease. To accomplish this, we use different datasets related to diseases, we apply various Deep Learning and Machine Learning algorithms and ensemble them together to anticipate about diseases. Machine Learning Techniques can give productive outcome to gather information by building different grouping and outfit models from gathered dataset. Such gathered information can be valuable to anticipate diseases. Different strategies of Machine Learning and Deep Learning are able to do forecast, but it's difficult to pick a best strategy. For this system, we have implemented Natural Language Processing and Artificial Neural Network in order to get the best efficiency.
基于机器学习的疾病检测医疗聊天机器人
为了以一种简单有效的方式检测疾病,我们提出了一个医疗聊天机器人框架。这项工作通过简单地采取与特定疾病相关的各种症状来调查疾病。为了做到这一点,我们使用了与疾病相关的不同数据集,我们应用了各种深度学习和机器学习算法,并将它们集成在一起来预测疾病。机器学习技术可以通过从收集到的数据集构建不同的分组和装备模型来收集信息,从而获得富有成效的结果。这些收集到的信息对预测疾病很有价值。机器学习和深度学习的不同策略都可以进行预测,但很难选择最佳策略。本系统采用了自然语言处理和人工神经网络,以达到最佳的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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