Works matching IS 10675027 AND DT 2020 AND VI 27 AND IP 1
Results: 22
Advancing the state of the art in automatic extraction of adverse drug events from narratives.
- Published in:
- 2020
- By:
- Publication type:
- Editorial
Corrigendum to: Real world evidence in cardiovascular medicine: assuring data validity in electronic health record-based studies.
- Published in:
- 2020
- Publication type:
- journal article
Training medical students and residents in the use of electronic health records: a systematic review of the literature.
- Published in:
- 2020
- By:
- Publication type:
- journal article
Using clinical reasoning ontologies to make smarter clinical decision support systems: a systematic review and data synthesis.
- Published in:
- 2020
- By:
- Publication type:
- journal article
Derivation and validation of a machine learning record linkage algorithm between emergency medical services and the emergency department.
- Published in:
- 2020
- By:
- Publication type:
- journal article
Imputation and characterization of uncoded self-harm in major mental illness using machine learning.
- Published in:
- 2020
- By:
- Publication type:
- journal article
A step closer to nationwide electronic health record-based chronic disease surveillance: characterizing asthma prevalence and emergency department utilization from 100 million patient records through a novel multisite collaboration.
- Published in:
- 2020
- By:
- Publication type:
- journal article
A maximum likelihood approach to electronic health record phenotyping using positive and unlabeled patients.
- Published in:
- 2020
- By:
- Publication type:
- journal article
Integrating pharmacogenomics into the electronic health record by implementing genomic indicators.
- Published in:
- 2020
- By:
- Publication type:
- journal article
2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records.
- Published in:
- 2020
- By:
- Publication type:
- journal article
Leaf: an open-source, model-agnostic, data-driven web application for cohort discovery and translational biomedical research.
- Published in:
- 2020
- By:
- Publication type:
- journal article
Ensuring electronic medical record simulation through better training, modeling, and evaluation.
- Published in:
- 2020
- By:
- Publication type:
- journal article
Automatic extraction of cancer registry reportable information from free-text pathology reports using multitask convolutional neural networks.
- Published in:
- 2020
- By:
- Publication type:
- journal article
Supporting the use of standardized nursing terminologies with automatic subject heading prediction: a comparison of sentence-level text classification methods.
- Published in:
- 2020
- By:
- Publication type:
- journal article
Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting.
- Published in:
- 2020
- By:
- Publication type:
- journal article
Extracting medications and associated adverse drug events using a natural language processing system combining knowledge base and deep learning.
- Published in:
- 2020
- By:
- Publication type:
- journal article
The complementary nature of query-based and directed health information exchange in primary care practice.
- Published in:
- 2020
- By:
- Publication type:
- journal article
Adverse drug event and medication extraction in electronic health records via a cascading architecture with different sequence labeling models and word embeddings.
- Published in:
- 2020
- By:
- Publication type:
- journal article
Adverse drug events and medication relation extraction in electronic health records with ensemble deep learning methods.
- Published in:
- 2020
- By:
- Publication type:
- journal article
Ensemble method-based extraction of medication and related information from clinical texts.
- Published in:
- 2020
- By:
- Publication type:
- journal article
An ensemble of neural models for nested adverse drug events and medication extraction with subwords.
- Published in:
- 2020
- By:
- Publication type:
- journal article
A study of deep learning approaches for medication and adverse drug event extraction from clinical text.
- Published in:
- 2020
- By:
- Publication type:
- journal article