[HTML][HTML] Clinical text data in machine learning: systematic review
Background: Clinical narratives represent the main form of communication within health
care, providing a personalized account of patient history and assessments, and offering rich …
care, providing a personalized account of patient history and assessments, and offering rich …
[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 …
2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records
Objective This article summarizes the preparation, organization, evaluation, and results of
Track 2 of the 2018 National NLP Clinical Challenges shared task. Track 2 focused on …
Track 2 of the 2018 National NLP Clinical Challenges shared task. Track 2 focused on …
[PDF][PDF] Semeval-2016 task 12: Clinical tempeval
Clinical TempEval 2016 evaluated temporal information extraction systems on the clinical
domain. Nine sub-tasks were included, covering problems in time expression identification …
domain. Nine sub-tasks were included, covering problems in time expression identification …
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 …
Entity recognition from clinical texts via recurrent neural network
Background Entity recognition is one of the most primary steps for text analysis and has long
attracted considerable attention from researchers. In the clinical domain, various types of …
attracted considerable attention from researchers. In the clinical domain, various types of …
[PDF][PDF] Quickumls: a fast, unsupervised approach for medical concept extraction
L Soldaini, N Goharian - MedIR workshop, sigir, 2016 - ir.cs.georgetown.edu
Entity extraction is a fundamental step in many health informatics systems. In recent years,
tools such as MetaMap and cTAKES have been widely used for medical concept extraction …
tools such as MetaMap and cTAKES have been widely used for medical concept extraction …
A multi-axis annotation scheme for event temporal relations
Existing temporal relation (TempRel) annotation schemes often have low inter-annotator
agreements (IAA) even between experts, suggesting that the current annotation task needs …
agreements (IAA) even between experts, suggesting that the current annotation task needs …
A BERT-based universal model for both within-and cross-sentence clinical temporal relation extraction
Classic methods for clinical temporal relation extraction focus on relational candidates within
a sentence. On the other hand, break-through Bidirectional Encoder Representations from …
a sentence. On the other hand, break-through Bidirectional Encoder Representations from …
Modern clinical text mining: a guide and review
B Percha - Annual review of biomedical data science, 2021 - annualreviews.org
Electronic health records (EHRs) are becoming a vital source of data for healthcare quality
improvement, research, and operations. However, much of the most valuable information …
improvement, research, and operations. However, much of the most valuable information …