[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 …
technology that enabled services for patients, clinicians, and researchers. One major hurdle …
Knowledge-infused self attention transformers
Transformer-based language models have achieved impressive success in various natural
language processing tasks due to their ability to capture complex dependencies and …
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
After the pandemic, artificial intelligence (AI) powered support for mental health care has
become increasingly important. The breadth and complexity of significant challenges …
become increasingly important. The breadth and complexity of significant challenges …
KSAT: Knowledge-infused Self Attention Transformer--Integrating Multiple Domain-Specific Contexts
Domain-specific language understanding requires integrating multiple pieces of relevant
contextual information. For example, we see both suicide and depression-related behavior …
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
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 …
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
Mental health issues can have significant impacts on individuals and communities and
hence on social sustainability. There are several challenges facing mental health treatment; …
hence on social sustainability. There are several challenges facing mental health treatment; …
IERL: Interpretable Ensemble Representation Learning--Combining CrowdSourced Knowledge and Distributed Semantic Representations
Large Language Models (LLMs) encode meanings of words in the form of distributed
semantics. Distributed semantics capture common statistical patterns among language …
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 …
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 …
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
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 …
known as the opioid crisis. The relationship between substance use and mental health has …