Structuring text and standardizing data for clinical and population health applications
Electronic health record functionality needed to better support primary care
Improving the quality of cancer care in America through health information technology
Phenotyping for patient safety
An electronic health record driven algorithm to identify incident antidepressant medication users
A multi-part matching strategy for mapping LOINC with laboratory terminologies
Combining structured and unstructured data to identify a cohort of ICU patients who received dialysis
A comprehensive study of named entity recognition in Chinese clinical text
Influenza detection from emergency department reports using natural language processing and Bayesian network classifiers
Automatic lymphoma classification with sentence subgraph mining from pathology reports
Assisted annotation of medical free text using RapTAT
Word sense disambiguation in the clinical domain
Learning regular expressions for clinical text classification
Assessing the similarity of surface linguistic features related to epilepsy across pediatric hospitals
N-gram support vector machines for scalable procedure and diagnosis classification, with applications to clinical free text data from the intensive care unit
Patient-level temporal aggregation for text-based asthma status ascertainment
Semantic analysis of SNOMED CT for a post-coordinated database of histopathology findings
Supervised machine learning and active learning in classification of radiology reports
Induced lexico-syntactic patterns improve information extraction from online medical forums
Applying MetaMap to Medline for identifying novel associations in a large clinical dataset
Electronic recording and reporting system for tuberculosis in China
Data use and effectiveness in electronic surveillance of healthcare associated infections in the 21st century
2014 AMIA Annual Symposium