AI Driven Healthcare Chatbots: A Comparative Analysis
DOI:
https://doi.org/10.36676/urr.v10.i4.1423Keywords:
AI, Healthcare Chatbots, Machine Learning, Patient InteractionAbstract
The paper explores the role of AIdriven chatbots in healthcare, comparing various machine learning models in predicting patient queries and improving response accuracy.
References
MENTAL HEALTH IN THE TECH INDUSTRY: INSIGHTS FROM SURVEYS AND NLP ANALYSIS. (2022). JOURNAL OF RECENT TRENDS IN COMPUTER SCIENCE AND ENGINEERING ( JRTCSE), 10(2), 23-34. https://jrtcse.com/index.php/home/article/view/JRTCSE.2022.2.3
Hu, W., Pillai, S. E., & ElSaid, A. A. (2022). Mobile Health Text Misinformation Identification Using Mobile Data Mining. International Journal of Mobile Devices, Wearable Technology, and Flexible Electronics (IJMDWTFE), 12(1), 1-14. http://doi.org/10.4018/IJMDWTFE.311433
S. E. V. S. Pillai, A. A. ElSaid and W. -C. Hu, "A Self-Reconfigurable System for Mobile Health Text Misinformation Detection," 2022 IEEE International Conference on Electro Information Technology (eIT), Mankato, MN, USA, 2022, pp. 242-247, doi: 10.1109/eIT53891.2022.9813840.
Pillai, S. E. & Hu, W. (2023). Mobile Text Misinformation Detection Using Effective Information Retrieval Methods. In C. Rabadão, L. Santos, & R. Costa (Eds.), Information Security and Privacy in Smart Devices: Tools, Methods, and Applications (pp. 234-256). IGI Global. https://doi.org/10.4018/978-1-6684-5991-1.ch008
S. E. V. S. Pillai and W. -C. Hu, "Misinformation Detection Using an Ensemble Method with Emphasis on Sentiment and Emotional Analyses," 2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA), Orlando, FL, USA, 2023, pp. 295-300, doi: 10.1109/SERA57763.2023.10197706.
Pillai, S. E. V. S., & Hu, W.-C. (2022). Using dummy locations to conceal whereabouts of mobile users in location-based services. *International Journal on Engineering, Science and Technology, 4*(4), 406-418. https://doi.org/10.46328/ijonest.126
Kalla, Dinesh and Smith, Nathan and Samaah, Fnu and Polimetla, Kiran, Facial Emotion and Sentiment Detection Using Convolutional Neural Network (January 2021). Indian Journal of Artificial Intelligence Research (INDJAIR), Volume 1, Issue 1, January-December 2021, pp. 1–13, Article ID: INDJAIR_01_01_001, Available at SSRN: https://ssrn.com/abstract=4690960
Kalla, D., Smith, N., Samaah, F., & Polimetla, K. (2022). Enhancing early diagnosis: Machine learning applications in diabetes prediction. *Journal of Artificial Intelligence & Cloud Computing*, *1*(1), 1-7. https://doi.org/10.47363/JAICC/2022(1)191
Pydipalli, R., & Tejani, J. G. (2019). A Comparative Study of Rubber Polymerization Methods: Vulcanization vs. Thermoplastic Processing. Technology & Management Review, 4, 36-48.
Rodriguez, M., Tejani, J. G., Pydipalli, R., & Patel, B. (2018). Bioinformatics Algorithms for Molecular Docking: IT and Chemistry Synergy. Asia Pacific Journal of Energy and Environment, 5(2), 113-122. https://doi.org/10.18034/apjee.v5i2.742
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