Email this article EFFICIENT CHATBOT DESIGNED TO PROVIDE HEALTH RELATED INFORMATION
Abstract
An efficient chatbot designed to provide health related information is a system used to chat with the patient or for any user to provide health related information, which increases the health awareness of user. It works by providing a complete health related info & solution that helps one to self-diagnose their disease to some extent. The proposed system mainly focuses on the user's health problem and their symptoms and then provide necessary info about the disease and its solution. This paper illustrates the improvement of the chatbot enabled website with the features of appointment, and map location.
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Soo H. Kim, Chang B. Jeong, Hee Kwag, Chin Y. Suen, “Word Segmentation of Printed Word Lines Based on Gap Clustering and Special Symbol Detection”.
Xiaofei Li, Xusheng Xie, “Research of Intelligent Word Segmentation and Information Retrieval”, 2nd International Conference on Education Technology and Computer (ICETC)”, 2010.
Meishan Zhang, Nan Yu, Guohong Fu, “A Simple and Effective Neural Model for Joint Word Segmentation and POS Tagging”, 2018.Md. Shakil and Rabindra Nath Nandi.
Mohammed Javed, P. Nagabhushan, B.B. Chaudhari, “A Direct Approach for Word and Character Segmentation in Run-Length Compressed Documents with an Application to Word Spotting”, 13th International Conference on Document Analysis and Recognition (ICDAR), 2015.
Naeun Lee, Kirak Kim, Taeseon Yoon, “Implementation of Robot Journalism by Programming Custombot using Tokenization and Custom Tagging”, 2017.
Tao Jiang, Hongzhi Yu, Yangkyi Jam, “Tibetan Word Segmentation Systems based on Conditional Random Fields”, 2011.
Jerome r. Bellagarda, “Parts-Of-Speech tagging by Latent Analogy”, IEEE Journal of Selected Topics in Signal Processing, Vol. 4, No. 6, 2010.
Liner Yang, Meishan Zhang, Yang Liu, Maosong Sun, Nan Yu, Guohong Fu, “Joint POS Tagging and Dependency Parsing with Transition-based Neural Networks”, 2018.
Ameta, U., Patel, M., Sharma, A.K. (2021). Scrum Framework Based on Agile Methodology in Software Development and Management. In: Mathur, R., Gupta, C.P., Katewa, V., Jat, D.S., Yadav, N. (eds) Emerging Trends in Data Driven Computing and Communications. Studies in Autonomic, Data-driven and Industrial Computing. Springer, Singapore. https://doi.org/10.1007/978-981-16-3915-9_28
Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu, and Wenliang Chen, “Joint Optimization for Chinese POS Tagging and Dependency Parsing”, IEEE/ACM transactions on audio, speech, and language processing, Vol. 22, No. 1, January 2014.
Patel, M., & Sheikh, R. (2019). Handwritten digit recognition using different dimensionality reduction techniques. International Journal of Recent Technology and Engineering, 8(2), 999-1002.
Sijun Qin, Jia Song, Pengzhou Zang, Yue Tan, “Feature Selection for Text Classification Based on Parts-Of-Speech Filter and Synonym Merge”, 12th International Conference on Fuzzy Systems and Knowledge Discover (FSKD), 2015.
Sachin S. Gavankar, Sudhirkumar D. Sawarkar, “Eager Decision Tree”, 2nd International Conference for Convergence in Technology (I2CT), 2017.
Naganna Chetty, Kunwar Singh Vaisla, Nagamma Patil, “An improved Method for Disease Prediction using Fuzzy Approach”, 2nd International Conference on Advances in Computing and Communication Engineering, 2015.
Kyo-Joong, DongKun Lee, ByungSoo Ko, Ho-Jin, Choi, “A Chatbot for Psychiatric Counseling in Mental Healthcare Service Based on Emotional Dialogue Analysis and Sentence Generation”, IEEE 18th International Conference on Mobile Data Management, 2017.
Patel, M., Badi, N., & Sinhal, A. (2019). The role of fuzzy logic in improving accuracy of phishing detection system. International Journal of Innovative Technology and Exploring Engineering, 8(8), 3162-3164.
Sen, S., Patel, M., Sharma, A.K. (2021). Software Development Life Cycle Performance Analysis. In: Mathur, R., Gupta, C.P., Katewa, V., Jat, D.S., Yadav, N. (eds) Emerging Trends in Data Driven Computing and Communications. Studies in Autonomic, Data-driven and Industrial Computing. Springer, Singapore. https://doi.org/10.1007/978-981-16-3915-9_27
H. Gupta and M. Patel, "Study of Extractive Text Summarizer Using The Elmo Embedding," 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2020, pp. 829-834, doi: 10.1109/I-SMAC49090.2020.9243610.
Ashay Argal, Siddharth Gupta, Ajay Modi, Pratik Pandey, Simon Shim, Chang Choo, “Intelligent Travel Chatbot for Predictive Recommendation in Echo Platform”.
Oliver Pietquin, Thierry Dutoit, “Dynamic Bayesian Networks for NLU Simulation with Applications to Dialog Optimal Strategy Learning”.
DOI: https://doi.org/10.26483/ijarcs.v13i0.6841
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