An Assistive Bot for Healthcare Using Deep Learning: Conversation-as-a-Service

  • Dhvani ShahEmail author
  • Thekkekara Joel Philip
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 713)


Gone are the days when software was used only for complex mathematical calculations or graphical motions alone. Today, it is software that has exponentially grown to become more powerful and more human—most obviously in applications such as ‘Chatbots.’ The year 2017 marks the Chatbot revolution in various industries like health, career, insurance, customer care support. Artificial intelligence (AI), which is the key player in enabling human-like behavior intelligently, is dramatically changing business. Chatbots, fueled by AI, are becoming a viable option for human–machine interaction. Deep learning algorithms have made it possible to build intelligent machine. In this research, we have developed a HealthBot using TensorFlow and Natural Language Processing (NLP) techniques. There is no denying that efficient patient engagement is a key challenge for all healthcare organizations and any company that can unravel this challenge can effectively earn high returns of investments. Chatbots are one of the major overhauls that hospitals can easily provide more customized care for patients while cutting down on the waiting period. The proposed HealthBot lists the common symptoms; then, based on user’s health issue it gets deeper into the conversations predicting the health problem of the user. Such bots are needed for today’s fast-moving population where they have no time to keep a tab on their health. Neural network implementation adds more accuracy to the responses. The proposed Chatbot model is a retrieval-based bot and of closed domain. Finally, the HealthBot is deployed on the Flask, a Python web development framework.


Chatbot Neural network HealthBot AI Deep learning TensorFlow Regression 


  1. 1.
    Rannamagi, R.: Is AI evolved enough to build a life coach as a chatbot? (2017). Accessed 17 Aug 2017
  2. 2.
    Mesko Dr.: Chatbots will serve as health assistants (2017). Accessed 17 Aug 2017
  3. 3.
    LeCun, Y., Bengio, Y., Hinton, G.: REVIEW Deep learning, vol. 521. Macmillan Publishers Limited (2015)Google Scholar
  4. 4.
    Jia, J.: CSIEC (Computer Simulator in Educational Communication): an intelligent web-based teaching system for foreign language learning. In: ED-MEDIA (World Conference on Educational Multimedia, Hypermedia & Telecommunications). Lugano, Switzerland (2004)Google Scholar
  5. 5.
    De Angeli, A., Johnson, G.I., Coventry, L.: The unfriendly user: exploring social reactions to chaterbots. In: Helander, Khalid, Tham (eds.), International Conference on Affective Human Factors Design. Asean Academic Press, London (2001)Google Scholar
  6. 6.
    Creative Virtual. UK Lingubot Customers 2004–2006: Listing of major companies using Linubot technology. Accessed 14 Aug 2017
  7. 7.
    Wacky Web Fun Ltd. c2005: Online game with chatbot capabilities. Accessed 17 Aug 2017
  8. 8.
    West Ham and Plainstow NDC: New deal for communities: splodge new deal for communities chatbot assistant (2005). Accessed 2 June 2017
  9. 9.
    Ellis, R., Allen, T., Tuson, A.: Applications and innovations in intelligent systems XIV. In: Proceedings of AI-2006, International Conference on Innovative Techniques and Applications of AI (2006)Google Scholar
  10. 10.
    Kerly, A., Hall, P., Bull, S.: Bringing chatbots into education: towards natural language negotiation of open learner models. In: Proceedings of AI-2006. International Conference on Innovative Techniques and Applications of Artificial Intelligence, SpringerGoogle Scholar
  11. 11.
    Lifeng Shang, Zhengdong Lu, Hang Li.: Neural Responding Machine for Short-Text Conversation. Accepted as a full paper ACL (2015)Google Scholar
  12. 12.
    Pennic, J.: Your.MD Launches AI-powered doctor diagnosis on facebook messenger via chatbot (2016). Accessed July 2017
  13. 13.
    Szymczak, A.: Introduction to chatbots in heathcare. Accessed July 2017
  14. 14.
    Rigg, J.: UK health service to trial chatbot that gives medical advice (2017). Accessed July 2017
  15. 15.
    Natural Language Toolkit. Accessed June 2017
  16. 16.
    WORDS API. Accessed June 2017

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.St. John College of Engineering and ManagementPalgharIndia
  2. 2.Universal College of EngineeringVasai-VirarIndia

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