Mr. Dr. Health-Assistant Chatbot
DOI:
Abstract
Research says 60% of visits to a doctor are for simple small-scale diseases, 80% of which can be diagnosed at home using simple check-up. These diseases mostly include common cold and cough, headache, abdominal pains etc. Whereas, chat-bots in healthcare are highly in demand, which functioning can offer various services from symptom checking and appointment scheduling. Therefore, the purpose of the research aims to design, develop and evaluate a health-assistant Chat-bot Application entitled “MR.Dr.” that helps users to ask any personal query related to healthcare without physically available to the hospital. MR.Dr. is evaluated in term of usability. 30 respondents attended the survey of usability evaluation. In the system usability scale MR.Dr. achieved 87.6 % rating which means Grade A (excellent). User's feedback level was pretty satisfying where 24/7 service is the highest one.
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References
T. M. M. Hayir, M. A. Magan, L. M. Mohamed, M. A. Mohamud and A. A. Muse, “Barriers for full immunization coverage among under 5 years children in Mogadishu, Somalia.” Journal Family Med Prim Care, vol. 10, no. 11, pp. 2664-2673, 2020.
S. Divya, V. Indumathi, S. Ishwarya, M. Priyasankari and S. K. Devi, “A self-diagnosis medical chatbot using artificial intelligence,” Journal of Web Development and Web Designing, vol. 3, no. 1, pp. 1-7, 2018.
U. Lanvers, “Spare a thought for the language learner!’ A commentary on Hultgren’s red herring,” Nordic Journal of English Studies, vol. 20, no. 1, pp. 278–283, 2021 doi: 10.35360/njes.670
M. Ivanovic and M. Semnic, “The Role of Agent Technologies in Personalized Medicine,” in 2018 5th,” International Conference on Systems and Informatics (ICSAI), 2018, IEEE. pp. 299–304, doi: 10.1109/ICSAI.2018.8599421
N. Bostrom and E. Yudkowsky, “The ethics of artifificial intelligence,” in Frankish K and Ramsey WM, The Cambridge Handbook of Artifificial Intelligence, Ed. San Cambridge: Cambridge University Press, 2014, pp. 316–334.
Jiang, Fei, Yong Jiang, Hui Zhi, Yi Dong, Hao Li, Sufeng Ma, Yilong Wang, Qiang Dong, Haipeng Shen and Yongjun Wang, “Artifificial intelligence in healthcare: Past, present and future,” Stroke Vasc Neurol, vol. 2, no. 4, pp. 230–243, 2017.
J. He, S.L. Baxter, J. Xu, J. Xu, X. Zhou and K. Zhang, “The practical implementation of artifificial intelligence technologies in medicine,” Nature Medicine, vol. 25, no. 1, pp. 30–36, 2019.
D. Madhu, C. N. Jain, E. Sebastain, S. Shaji and A. Ajayakumar, "A novel approach for medical assistance using trained chatbot." In 2017 International Conference On Inventive Communication And Computational Technologies (ICICCT), 2017, pp. 243-246, IEEE.
R. Dharwadkar and N. A. Deshpande, “A medical ChatBot,” International Journal of Computer Trends and Technology (IJCTT), vol. 60, no. 1, pp. 41-45, 2018.
V. M. Kumar, A. Keerthana, M. Madhumitha, S. Valliammai and V. Vinithasri, “Sanative chatbot for health seekers,” International Journal of Engineering and Computer Science, vol. 5, no. 3, pp. 16022-16025, 2016.
S. Ayanouz, B. A. Abdelhakim and M. Benhmed, “A Smart Chatbot Architecture based NLP and Machine Learning for Health Care Assistance,” in Proceedings of the 3rd International Conference on Networking, Information Systems & Security, 2020, pp. 1-6.
T. Lalwani, S. Bhalotia, A. Pal, S. Bisen and V. Rathod, “Implementation of a Chat Bot System using AI and NLP,” International Journal of Innovative Research in Computer Science & Technology-IJIRCST, vol. 6, no. 3, 2018.
S. Hoermann, K. L. M. Cabe, D. N. Milne and R. A. Calvo, “Application of synchronous Text-Based Dialogue Systems in Mental Health Interventions: Systematic Review,” Journal of medical Internet research, vol. 19, no. 8, e267, 2017.
M. Nuruzzaman and O. K. Hussain, “A Survey on Chatbot Implementation in Customer Service Industry through Deep Neural Networks,” in 2018 IEEE 15th International Conference on e-Business Engineering (ICEBE), 2018, pp. 54-61, IEEE.
L. C. Klopfenstein, S. Delpriori, S. Malatini and A. Bogliolo, “The rise of bots: A survey of conversational interfaces, patterns, and paradigms,” in Proceedings of the 2017 Conference on Designing Interactive systems, 2017, pp. 555-565.
J. P. Campbell, “Speaker Recognition: A tutorial,” Proceedings of the IEEE, vol. 85, no. 9, pp. 1437-1462, 1997.
C. -H. Lee, From Knowledge-Ignorant to Knowledge-Rich Modeling: A New Speech Research Paradigm for Next Generation Automatic Speech Recognition. Canada: Springer, 2004.
Bhargava, and N. Maheshwari, “An Intelligent Speech Recognition System for Education System,” 2009.
J. Hochfeld, N. Riffell and Levinson. “Four Trends that Willtransform Healthcarein Europe in 2016,” European Pharmaceutical Review, vol. 21, no. 1, 2016.
A. S. M. Mosa, I. Yoo, and L. Sheets, “A systematic Review of Healthcare Applications for Smartphones,” BMC Medical Informatics and Decision Making, vol. 12, no. 1, pp. 1-31, 2012.
O. Kadu, S. Sihasane, S. Naik, V. Katariya and V. S. Gutte, “Intelligent Healthbot for Transforming Healthcare,” International Journal of Trend in Scientific Research and Development (IJTSRD), vol. 3, no. 3, pp. 1576-1579, 2019.
D. Anas, D. Suhas, T. Manthan, and M. Harsh, “AI Based Healthcare Chatbot System Using Natural Language Processing,” Thesis, St. John College of Engineering and Management, Palghar, 2019.
F. Amato, S. Marrone, V. Moscato, G. Piantadosi, A. Picariello and C. Sansone, “Chatbots Meet eHealth: Automatizing Healthcare,” in WAIAH@ AI* IA, 2017, pp. 40-49.
R. Dale, “The return of the chatbot,” Natural Language Engineering, vol. 22, no. 5, pp. 811-817, 2016.
S. Hudaa, D. B. P. Setiyadi, E. L. Lydia, K. Shankar, P. T. Nguyen, W. Hashim, and A. Maseleno, “Natural Language Processing Utilization in Healthcare,” International Journal of Engineering and Advanced Technology,vol. 8 no. 6S2, August 2019.
E. Wolfgang, "First-order predicate logic." In Introduction to Artificial Intelligence, pp. 39-64. Springer, Cham, 2017.
J. P. Mueller, Beginning Programming with Python for Dummies. United States: John Wiley & Sons 2018.
L. E. Alvarez-Dionisi, M. Mittra and R. Balza, “Teaching Artificial Intelligence and Robotics to Undergraduate Systems Engineering Students,” International Journal of Modern Education & Computer Science, vol. 11, no. 7, 2019.
S. Mihajlović, A. Kupusinac, D. Ivetić and I. Berković, “The Use of Python in the field of Artifical Intelligence,” in International Conference on Information Technology and Development of Education – ITRO 2020, Zrenjanin, Republic of Serbia, October 2020.
