A comparative study of pretrained language models for long clinical text
Objective Clinical knowledge-enriched transformer models (eg, ClinicalBERT) have state-of-
the-art results on clinical natural language processing (NLP) tasks. One of the core …
the-art results on clinical natural language processing (NLP) tasks. One of the core …
Applications of natural language processing in ophthalmology: present and future
Advances in technology, including novel ophthalmic imaging devices and adoption of the
electronic health record (EHR), have resulted in significantly increased data available for …
electronic health record (EHR), have resulted in significantly increased data available for …
[HTML][HTML] Natural Language Processing in Medicine and Ophthalmology: A Review for the 21st-century clinician
W Rojas-Carabali, R Agrawal… - Asia-Pacific Journal of …, 2024 - Elsevier
ABSTRACT Natural Language Processing (NLP) is a subfield of artificial intelligence that
focuses on the interaction between computers and human language, enabling computers to …
focuses on the interaction between computers and human language, enabling computers to …
Clinical-longformer and clinical-bigbird: Transformers for long clinical sequences
Transformers-based models, such as BERT, have dramatically improved the performance
for various natural language processing tasks. The clinical knowledge enriched model …
for various natural language processing tasks. The clinical knowledge enriched model …
[HTML][HTML] A self-supervised language model selection strategy for biomedical question answering
N Arabzadeh, E Bagheri - Journal of Biomedical Informatics, 2023 - Elsevier
Large neural-based Pre-trained Language Models (PLM) have recently gained much
attention due to their noteworthy performance in many downstream Information Retrieval …
attention due to their noteworthy performance in many downstream Information Retrieval …
Cliniqg4qa: Generating diverse questions for domain adaptation of clinical question answering
Clinical question answering (QA) aims to automatically answer questions from medical
professionals based on clinical texts. Studies show that neural QA models trained on one …
professionals based on clinical texts. Studies show that neural QA models trained on one …
[HTML][HTML] Unlocking human-like conversations: Scoping review of automation techniques for personalized healthcare interventions using conversational agents
Abstract Background Conversational agents (CAs) offer a sustainable approach to deliver
personalized interventions and improve health outcomes. Objectives To review how human …
personalized interventions and improve health outcomes. Objectives To review how human …
Drug–disease association prediction with literature based multi-feature fusion
H Kang, L Hou, Y Gu, X Lu, J Li, Q Li - Frontiers in Pharmacology, 2023 - frontiersin.org
Introduction: Exploring the potential efficacy of a drug is a valid approach for drug
development with shorter development times and lower costs. Recently, several …
development with shorter development times and lower costs. Recently, several …
Information extraction from weakly structured radiological reports with natural language queries
Objectives Provide physicians and researchers an efficient way to extract information from
weakly structured radiology reports with natural language processing (NLP) machine …
weakly structured radiology reports with natural language processing (NLP) machine …
A survey of consumer health question answering systems
A Welivita, P Pu - Ai Magazine, 2023 - Wiley Online Library
Consumers are increasingly using the web to find answers to their health‐related queries.
Unfortunately, they often struggle with formulating the questions, further compounded by the …
Unfortunately, they often struggle with formulating the questions, further compounded by the …