Design and Implementation of a Smart Healthcare Communication Bot

Year : 2024 | Volume :02 | Issue : 01 | Page : 14-20
By

Sri. G. Kalyan Chakravarthi,

D. Eekshitha,

D. Srija,

T. Jagadesh,

Y. Sai Kamalesh,

  1. Associate Professor Computer Science Department, Gayatri Vidya Parishad College for Degree and PG Courses Andhra Pradesh India
  2. Student Computer Science Department, Gayatri Vidya Parishad College for Degree and PG Courses Andhra Pradesh India
  3. Student Computer Science Department, Gayatri Vidya Parishad College for Degree and PG Courses Andhra Pradesh India
  4. Student Computer Science Department, Gayatri Vidya Parishad College for Degree and PG Courses Andhra Pradesh India
  5. Student Computer Science Department, Gayatri Vidya Parishad College for Degree and PG Courses Andhra Pradesh India

Abstract

Healthcare has proved to be one of the core factors that lead us to a magnificent life. Moreover, going to a professional for every small health issue is complicated and difficult task. To aid users with health issues, this paper describes the creation and deployment of a multifunctional healthcare assistance application. The application encompasses: The first task of the application involves a chatbot interface that gives in- depth drug information after the drug name is provided by user as input. The second task focuses on disease prediction, where users input their symptoms, and the application analyses the symptoms and predicts potential diseases or health conditions. Lastly, the application integrates with Google Maps to provide real-time navigation to nearest healthcare facilities based on their location.

Keywords: Functionalities interface, potential, disease prediction, integrates, real -time navigation

[This article belongs to International Journal of Robotics and Automation in Mechanics(ijram)]

How to cite this article: Sri. G. Kalyan Chakravarthi, D. Eekshitha, D. Srija, T. Jagadesh, Y. Sai Kamalesh. Design and Implementation of a Smart Healthcare Communication Bot. International Journal of Robotics and Automation in Mechanics. 2024; 02(01):14-20.
How to cite this URL: Sri. G. Kalyan Chakravarthi, D. Eekshitha, D. Srija, T. Jagadesh, Y. Sai Kamalesh. Design and Implementation of a Smart Healthcare Communication Bot. International Journal of Robotics and Automation in Mechanics. 2024; 02(01):14-20. Available from: https://journals.stmjournals.com/ijram/article=2024/view=170267



References

  1. Healthcare Chatbot System using Artificial Intelligence Nikita Vijay Shinde; Aniket Akhade; Pranali Bagad; Harshit Bhavsar; S.K. Wagh; Amol Kamble 2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)
  2. Healthcare Chatbot System: A Survey Suprabha Swain; Sneha Naik; Apoorva Mhalsekar; Harshada Gaonkar; Deepmala Kale; Shailendra Aswale 2022 3rd International Conference on Intelligent Engineering and Management (ICIEM)
  3. Artificial Intelligence based Healthcare Chat Bot System Akash Goel; Satyam; Shubham Sharma 2023 8th International Conference on Communication and Electronics Systems (ICCES)
  4. A Machine Learning Model on Healthcare Based Chatbot and Appointment System Kushagra Srivastava; Trilok Nath Pandey; Debaraj Roy; Sambit Sahoo 2023 3rd International conference on Artificial Intelligence and Signal Processing (AISP)
  5. Chatbots in Healthcare: Challenges, Technologies and Applications Deepali Sharma; Sakshi Kaushal; Harish Kumar; Shalini Gainder 2022 4th International Conference on Artificial Intelligence and Speech Technology (AIST)
  6. Health Chatbot Using Natural Language Processing for Disease Prediction and Treatment Philip Indra Prayitno; Reinhart Perbowo Pujo Leksono; Fernando Chai; Richard Aldy; Widodo Budiharto 2021 1st International Conference on Computer Science and Artificial Intelligence (ICCSAI)
  7. Kavitha, B. and C. R. Murthy. Chatbot for healthcare system using artificial intelligence.
  8. Kandpal, P., K. Jasnani, R. Raut, and S. Bhorge, Contextual chatbot for healthcare purposes (using deep learning). In 2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4). IEEE, 2020.
  9. Artificial intelligence in drug discovery and development. Journal of Pediatric Nursing, 49, 85–91. doi:10. 1016/j.pedn.2019.09.004.
  10. Chung, K. and R. C. Park (2019). Chatbot-based heathcare service with a knowledge base for cloud computing. Cluster Computing, 22(1), 1925–1937.
  11. Multilingual Healthcare Chatbot Using Machine Learning Sagar Badlani; Tanvi Aditya; Meet Dave; Sheetal Chaudhari 2021 2nd International Conference for Emerging Technology (INCET)
  12. F. Ur Rahman Khilji, S. R. Laskar, P. Pakray, R. A. Kadir, M. S. Lydia and S. Bandy-opadhyay, “HealFavor: Dataset and A Prototype System for Healthcare ChatBot,” 2020 International Conference on Data Science, Artificial Intelligence, and Business Analytics (DATABIA), 2020.
  13. , Ciechanowski, L., Stroz, A., Gloor, P., & Mazurek, G. . In bot we trust: A new methodology of chatbot performance measures. Business Horizons, doi: 10.1016/j.bushor.2019.08.05
  14. Beaudry, J., Consigli, A., Clark, C., & Robinson, K. J. Getting ready for adult healthcare: Designing a chatbot to coach adolescents with special health needs through the transitions of care. Journal of Pediatric Nursing, 49, 85–91. doi:10.1016/j.pedn.2019.09.004
  15. Chatbot for Healthcare System Using Artificial Intelligence Lekha Athota; Vinod Kumar Shukla; Nitin Pandey; Ajay Rana 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)

 


Regular Issue Subscription Original Research
Volume 02
Issue 01
Received May 20, 2024
Accepted June 5, 2024
Published September 3, 2024

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