A Smart Bot as an Interactive Medical Assistant with Voice-based System using Natural Language Processing
Aashita Tiwari1, Ahitagnee Paul2, P. Suganya A.P(O.G)3
1Aashita Tiwari, Department of CSE, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
2Ahitagnee Paul, Department of CSE, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
3P.Suganya, Department of CSE, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 25 August 2019 | Revised Manuscript received on 01 September 2019 | Manuscript Published on 14 September 2019 | PP: 164-166 | Volume-8 Issue-5S3, July 2019 | Retrieval Number: E10390785S319/19©BEIESP | DOI: 10.35940/ijeat.E1039.0785S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this fast-moving world, people are ignorant about their health issues and avoid routine check-ups. It is very difficult for users to spend longer time on-line and explore health information. To solve the problem, voice-based application is provided to the user where user can interact with system and get inference of diseases and their remedies by giving the symptoms as input.For processing the given input, the data is normalized by using noun phrase extraction and medical term identifier. For getting more precise result, the system generates relevant questions to the user and accordingly provide remedy for problem. Question is generated by mapping the user input array with question generation matrix. The project is based on a digital medical aid through a smart bot using machine learning and optical character recognition techniques. The user can just talk to the bot and get to know what the possible causes and effects of the particular symptoms are, determine the illness and take appropriate actions. Basically, the purpose of this bot is to act as a friendly healthcare assistant that helps in all the work that people need to take care of their health.
Keywords: Friendly Healthcare Assistant, Machine Learning, Medical Term identifier, Natural Language Processing, Normalization, Optical Character Recognition, Question-Answer System, Smart Bot, Voice based.
Scope of the Article: Natural Language Processing