Cargando…
Annotation and extraction of age and temporally-related events from clinical histories
BACKGROUND: Age and time information stored within the histories of clinical notes can provide valuable insights for assessing a patient’s disease risk, understanding disease progression, and studying therapeutic outcomes. However, details of age and temporally-specified clinical events are not well...
Autores principales: | Hong, Judy, Davoudi, Anahita, Yu, Shun, Mowery, Danielle L. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772895/ https://www.ncbi.nlm.nih.gov/pubmed/33380319 http://dx.doi.org/10.1186/s12911-020-01333-5 |
Ejemplares similares
-
Lexicon Development for COVID-19-related Concepts Using Open-source Word Embedding Sources: An Intrinsic and Extrinsic Evaluation
por: Parikh, Soham, et al.
Publicado: (2021) -
Identifying Medication-Related Intents From a Bidirectional Text Messaging Platform for Hypertension Management Using an Unsupervised Learning Approach: Retrospective Observational Pilot Study
por: Davoudi, Anahita, et al.
Publicado: (2022) -
Classifying Characteristics of Opioid Use Disorder From Hospital Discharge Summaries Using Natural Language Processing
por: Poulsen, Melissa N., et al.
Publicado: (2022) -
Evaluating the effects of machine pre-annotation and an interactive annotation interface on manual de-identification of clinical text
por: South, Brett R., et al.
Publicado: (2014) -
Synthetic data for annotation and extraction of family history information from clinical text
por: Brekke, Pål H., et al.
Publicado: (2021)