Recurrent neural networks (RNNs): architectures, training tricks, and introduction to influential research

S Das, A Tariq, T Santos, SS Kantareddy… - Machine Learning for …, 2023 - Springer
Recurrent neural networks (RNNs) are neural network architectures with hidden state and
which use feedback loops to process a sequence of data that ultimately informs the final …

Why would you use medical chatbots? interview and survey

IC Chang, YS Shih, KM Kuo - International Journal of Medical Informatics, 2022 - Elsevier
Background Chatbots, empowered by artificial intelligence, are becoming increasingly
popular in many fields and have much potential for application in real life situations …

[PDF][PDF] Chatbots utility in healthcare industry: an umbrella review

AM Afsahi, SAS Alinaghi, A Molla… - Frontiers in Health …, 2024 - researchgate.net
Results: The review encompassed 38 articles. Findings reveal chatbots primarily promote
healthy lifestyles, improving mental well-being. They are widely used for treatment …

[PDF][PDF] Design intelligent educational chatbot for information retrieval based on integrated knowledge bases

HD Nguyen, TV Tran, XT Pham… - Intelligent …, 2024 - pythonpublishingpress.com
There are a lot of practical uses for the intelligent chatbot, particularly in enhancing online
education. To aid students in searchingcourse material for understanding, an educational …

Using technology to study refugee, conflict-affected, and hard-to-reach populations: Methodological and ethical considerations

A Pelletier, L Kaewkitipong, MJ Guitton - Computers in Human Behavior, 2024 - Elsevier
The worldwide refugee population will continue to grow in the coming decades due to the
rise of civil conflict and the growing consequences of climate change. This trend poses a …

Artificial intelligence synergetic opportunities in services: conversational systems perspective

S Rozenes, Y Cohen - Applied Sciences, 2022 - mdpi.com
The importance of this paper is its discovery of the unused synergetic potential of integration
between several AI techniques into an orchestrated effort to improve service. Special …

HOPLoP: multi-hop link prediction over knowledge graph embeddings

V Ranganathan, D Barbosa - World Wide Web, 2022 - Springer
Abstract Large-scale Knowledge Graphs (KGs) support applications such as Web search
and personal assistants and provide training data for numerous Natural Language …

Beyond the Waiting Room: Patient's Perspectives on the Conversational Nuances of Pre-Consultation Chatbots

B Li, O Gross, N Crampton, M Kapoor… - Proceedings of the CHI …, 2024 - dl.acm.org
Pre-consultation serves as a critical information exchange between healthcare providers
and patients, streamlining visits and supporting patient-centered care. Human-led pre …

Health care chatbot using natural language processing with SGD and ADAM optimizer parameter optimization

KC Bandhu, BK Mishra, M Patel… - 2022 IEEE World …, 2022 - ieeexplore.ieee.org
In today's world, everyone is not quite sure about the medicine that the users used in a
similar situation or critical situation where any medical emergency has come and as all know …

An overview of chatbot structure and source algorithms

AM Eltahir, H Abdulla, J Platos… - 2022 26th International …, 2022 - ieeexplore.ieee.org
Chatbots or Chat Robots are the technology of the decade in which a machine having
human conversation capabilities interacts with people. The technology uses various Human …