Voice Chat Bot in Healthcare System
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Abstract
The economic activity that is created by technology companies to fulfil consumer demand via the immediate provisioning of goods and services is called On-Demand Architecture. Our On-Demand Service Delivery models ensure that customer get the benefit from the quick availability of Services and when you need them. Healthcare payers, providers, including medical assistants, are also beginning to leverage these AI-enabled tools to simplify patient care and cut unnecessary costs. Whenever a patient strikes up a conversation with a medical representative who may sound human but underneath is an intelligent conversational machine. Normally Users are not aware about all the treatment or symptoms regarding the particular disease. For small problem user have to go personally to the hospital for check-up which is more time consuming. Such a problem can be solved by using medical Chat Bot by giving proper guidance regarding healthy living. The idea to create the voice chat bot using AI and ML is to diagnose the disease and provide the basic details about the disease before consulting a doctor. The chat bot basically stores the data in the database to identify the sentence keywords and to make a decision and answer the question regarding to details given by the user. This paper describes a healthcare voice chatbot using the machine learning algorithm which predicts the accuracy of disease. There are many machine learning algorithms that can be used to predict the disease. Support Vector Machine learning technique is primarily used to achieve precise prediction and boost the efficiency of the model. The system uses Natural Language Processing to achieve the style of chatting. Using this approach people can reduce spending time in hospitals and receive low cost or cost-free services.
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