[HTML][HTML] Towards electronic health record-based medical knowledge graph construction, completion, and applications: A literature study

L Murali, G Gopakumar, DM Viswanathan… - Journal of biomedical …, 2023 - Elsevier
With the growth of data and intelligent technologies, the healthcare sector opened numerous
technology that enabled services for patients, clinicians, and researchers. One major hurdle …

Knowledge-infused self attention transformers

K Roy, Y Zi, V Narayanan, M Gaur, A Sheth - arXiv preprint arXiv …, 2023 - arxiv.org
Transformer-based language models have achieved impressive success in various natural
language processing tasks due to their ability to capture complex dependencies and …

Demo alleviate: Demonstrating artificial intelligence enabled virtual assistance for telehealth: The mental health case

K Roy, V Khandelwal, R Goswami, N Dolbir… - Proceedings of the …, 2023 - ojs.aaai.org
After the pandemic, artificial intelligence (AI) powered support for mental health care has
become increasingly important. The breadth and complexity of significant challenges …

KSAT: Knowledge-infused Self Attention Transformer--Integrating Multiple Domain-Specific Contexts

K Roy, Y Zi, V Narayanan, M Gaur, A Sheth - arXiv preprint arXiv …, 2022 - arxiv.org
Domain-specific language understanding requires integrating multiple pieces of relevant
contextual information. For example, we see both suicide and depression-related behavior …

[HTML][HTML] Detecting substance use disorder using social media data and the dark web: time-and knowledge-aware study

U Lokala, OC Phukan, TG Dastidar, F Lamy… - JMIRx Med, 2024 - xmed.jmir.org
Background Opioid and substance misuse has become a widespread problem in the United
States, leading to the “opioid crisis.” The relationship between substance misuse and mental …

Psychological health and drugs: data-driven discovery of causes, treatments, effects, and abuses

S Alswedani, R Mehmood, I Katib, SM Altowaijri - Toxics, 2023 - mdpi.com
Mental health issues can have significant impacts on individuals and communities and
hence on social sustainability. There are several challenges facing mental health treatment; …

IERL: Interpretable Ensemble Representation Learning--Combining CrowdSourced Knowledge and Distributed Semantic Representations

Y Zi, K Roy, V Narayanan, M Gaur, A Sheth - arXiv preprint arXiv …, 2023 - arxiv.org
Large Language Models (LLMs) encode meanings of words in the form of distributed
semantics. Distributed semantics capture common statistical patterns among language …

NLP is Not enough--Contextualization of User Input in Chatbots

N Dolbir, T Dastidar, K Roy - arXiv preprint arXiv:2105.06511, 2021 - arxiv.org
AI chatbots have made vast strides in technology improvement in recent years and are
already operational in many industries. Advanced Natural Language Processing …

Full-abstract biomedical relation extraction with keyword-attentive domain knowledge infusion

X Zhu, L Zhang, J Du, Z Xiao - Applied Sciences, 2021 - mdpi.com
Relation extraction (RE) is an essential task in natural language processing. Given a
context, RE aims to classify an entity-mention pair into a set of pre-defined relations. In the …

edarktrends: Harnessing social media trends in substance use disorders for opioid listings on cryptomarket

U Lokala, F Lamy, TG Dastidar, K Roy… - arXiv preprint arXiv …, 2021 - arxiv.org
Opioid and substance misuse is rampant in the United States today, with the phenomenon
known as the opioid crisis. The relationship between substance use and mental health has …