[HTML][HTML] Using clinical natural language processing for health outcomes research: overview and actionable suggestions for future advances
The importance of incorporating Natural Language Processing (NLP) methods in clinical
informatics research has been increasingly recognized over the past years, and has led to …
informatics research has been increasingly recognized over the past years, and has led to …
Clinical natural language processing in languages other than English: opportunities and challenges
Background Natural language processing applied to clinical text or aimed at a clinical
outcome has been thriving in recent years. This paper offers the first broad overview of …
outcome has been thriving in recent years. This paper offers the first broad overview of …
[HTML][HTML] Mimic-iv
Retrospectively collected medical data has the opportunity to improve patient care through
knowledge discovery and algorithm development. Broad reuse of medical data is desirable …
knowledge discovery and algorithm development. Broad reuse of medical data is desirable …
Clinicalbert: Modeling clinical notes and predicting hospital readmission
Clinical notes contain information about patients that goes beyond structured data like lab
values and medications. However, clinical notes have been underused relative to structured …
values and medications. However, clinical notes have been underused relative to structured …
CLAMP–a toolkit for efficiently building customized clinical natural language processing pipelines
Existing general clinical natural language processing (NLP) systems such as MetaMap and
Clinical Text Analysis and Knowledge Extraction System have been successfully applied to …
Clinical Text Analysis and Knowledge Extraction System have been successfully applied to …
Privacy-preserving large language models for structured medical information retrieval
Most clinical information is encoded as free text, not accessible for quantitative analysis. This
study presents an open-source pipeline using the local large language model (LLM)“Llama …
study presents an open-source pipeline using the local large language model (LLM)“Llama …
[PDF][PDF] CoNLL-2012 shared task: Modeling multilingual unrestricted coreference in OntoNotes
The CoNLL-2012 shared task involved predicting coreference in English, Chinese, and
Arabic, using the final version, v5. 0, of the OntoNotes corpus. It was a follow-on to the …
Arabic, using the final version, v5. 0, of the OntoNotes corpus. It was a follow-on to the …
[HTML][HTML] Clinical concept extraction: a methodology review
Background Concept extraction, a subdomain of natural language processing (NLP) with a
focus on extracting concepts of interest, has been adopted to computationally extract clinical …
focus on extracting concepts of interest, has been adopted to computationally extract clinical …
Natural language processing to extract symptoms of severe mental illness from clinical text: the Clinical Record Interactive Search Comprehensive Data Extraction …
Objectives We sought to use natural language processing to develop a suite of language
models to capture key symptoms of severe mental illness (SMI) from clinical text, to facilitate …
models to capture key symptoms of severe mental illness (SMI) from clinical text, to facilitate …
Novel data‐mining methodologies for adverse drug event discovery and analysis
An important goal of the health system is to identify new adverse drug events (ADEs) in the
postapproval period. Data‐mining methods that can transform data into meaningful …
postapproval period. Data‐mining methods that can transform data into meaningful …