[HTML][HTML] Clinical information extraction applications: a literature review
Background With the rapid adoption of electronic health records (EHRs), it is desirable to
harvest information and knowledge from EHRs to support automated systems at the point of …
harvest information and knowledge from EHRs to support automated systems at the point of …
Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review
TA Koleck, C Dreisbach, PE Bourne… - Journal of the American …, 2019 - academic.oup.com
Objective Natural language processing (NLP) of symptoms from electronic health records
(EHRs) could contribute to the advancement of symptom science. We aim to synthesize the …
(EHRs) could contribute to the advancement of symptom science. We aim to synthesize the …
2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records
S Henry, K Buchan, M Filannino… - Journal of the …, 2020 - academic.oup.com
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 …
A survey on recent named entity recognition and relationship extraction techniques on clinical texts
Significant growth in Electronic Health Records (EHR) over the last decade has provided an
abundance of clinical text that is mostly unstructured and untapped. This huge amount of …
abundance of clinical text that is mostly unstructured and untapped. This huge amount of …
The evidence for saturated fat and for sugar related to coronary heart disease
JJ DiNicolantonio, SC Lucan, JH O'Keefe - Progress in cardiovascular …, 2016 - Elsevier
Dietary guidelines continue to recommend restricting intake of saturated fats. This
recommendation follows largely from the observation that saturated fats can raise levels of …
recommendation follows largely from the observation that saturated fats can raise levels of …
Information extraction from electronic medical documents: state of the art and future research directions
MY Landolsi, L Hlaoua, L Ben Romdhane - Knowledge and Information …, 2023 - Springer
In the medical field, a doctor must have a comprehensive knowledge by reading and writing
narrative documents, and he is responsible for every decision he takes for patients …
narrative documents, and he is responsible for every decision he takes for patients …
In-boxbart: Get instructions into biomedical multi-task learning
Single-task models have proven pivotal in solving specific tasks; however, they have
limitations in real-world applications where multi-tasking is necessary and domain shifts are …
limitations in real-world applications where multi-tasking is necessary and domain shifts are …
[HTML][HTML] Annotating longitudinal clinical narratives for de-identification: The 2014 i2b2/UTHealth corpus
Abstract The 2014 i2b2/UTHealth natural language processing shared task featured a track
focused on the de-identification of longitudinal medical records. For this track, we de …
focused on the de-identification of longitudinal medical records. For this track, we de …
[HTML][HTML] Automated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track 1
Abstract The 2014 i2b2/UTHealth Natural Language Processing (NLP) shared task featured
four tracks. The first of these was the de-identification track focused on identifying protected …
four tracks. The first of these was the de-identification track focused on identifying protected …
Use of unstructured text in prognostic clinical prediction models: a systematic review
Objective This systematic review aims to assess how information from unstructured text is
used to develop and validate clinical prognostic prediction models. We summarize the …
used to develop and validate clinical prognostic prediction models. We summarize the …