A scoping review of using large language models (llms) to investigate electronic health records (ehrs)
Electronic Health Records (EHRs) play an important role in the healthcare system. However,
their complexity and vast volume pose significant challenges to data interpretation and …
their complexity and vast volume pose significant challenges to data interpretation and …
Addressing health-related social needs and mental health needs in the neonatal intensive care unit: exploring challenges and the potential of technology
E van de Kamp, J Ma, N Monangi, FR Tsui… - International Journal of …, 2023 - mdpi.com
Unaddressed health-related social needs (HRSNs) and parental mental health needs in an
infant's environment can negatively affect their health outcomes. This study examines the …
infant's environment can negatively affect their health outcomes. This study examines the …
Advancements in extracting social determinants of health information from narrative text
K Lybarger, OJ Bear Don't Walk IV… - Journal of the …, 2023 - academic.oup.com
Social determinants of health (SDoH) are the conditions in which people are born, live, work,
and age that affect personal well-being, health outcomes, and life expectancy. 1 SDoH …
and age that affect personal well-being, health outcomes, and life expectancy. 1 SDoH …
[HTML][HTML] Realizing the Potential of Social Determinants Data: A Scoping Review of Approaches for Screening, Linkage, Extraction, Analysis and Interventions
Background Social determinants of health (SDoH) like socioeconomics and neighborhoods
strongly influence outcomes, yet standardized SDoH data is lacking in electronic health …
strongly influence outcomes, yet standardized SDoH data is lacking in electronic health …
[HTML][HTML] Multifaceted Natural Language Processing Task–Based Evaluation of Bidirectional Encoder Representations From Transformers Models for Bilingual (Korean …
K Kim, S Park, J Min, S Park, JY Kim… - JMIR Medical …, 2024 - medinform.jmir.org
Background: The bidirectional encoder representations from transformers (BERT) model has
attracted considerable attention in clinical applications, such as patient classification and …
attracted considerable attention in clinical applications, such as patient classification and …
Occupation Recognition and Exploitation in Rheumatology Clinical Notes: Employing Deep Learning Models for Named Entity Recognition and Knowledge Discovery …
A Madrid-García, I Perez-Sancristobal… - medRxiv, 2024 - medrxiv.org
Occupation is considered a Social Determinant of Health (SDOH) and its effects have been
studied at multiple levels. Although the inclusion of such data in the Electronic Health …
studied at multiple levels. Although the inclusion of such data in the Electronic Health …
Leveraging Large Language Models to Extract Information on Substance Use Disorder Severity from Clinical Notes: A Zero-shot Learning Approach
M Mahbub, GM Dams, S Srinivasan, C Rizy… - arXiv preprint arXiv …, 2024 - arxiv.org
Substance use disorder (SUD) poses a major concern due to its detrimental effects on
health and society. SUD identification and treatment depend on a variety of factors such as …
health and society. SUD identification and treatment depend on a variety of factors such as …
Exploring prompts to elicit memorization in masked language model-based named entity recognition
Training data memorization in language models impacts model capability (generalization)
and safety (privacy risk). This paper focuses on analyzing prompts' impact on detecting the …
and safety (privacy risk). This paper focuses on analyzing prompts' impact on detecting the …
Recognition of professions in medical documentation
A Madrid García - 2023 - e-spacio.uned.es
Abstract Named Entity Recognition (NER) in Electronic Health Record (EHR) is the area of
Natural Language Processing (NLP) that seeks to identify and extract unstructured …
Natural Language Processing (NLP) that seeks to identify and extract unstructured …
Realizing the potential of social determinants data in EHR systems: A scoping review of approaches for screening, linkage, extraction, analysis, and interventions
Background: Social determinants of health (SDoH), such as socioeconomics and
neighborhoods, strongly influence health outcomes. However, the current state of …
neighborhoods, strongly influence health outcomes. However, the current state of …