AIMC Topic: Electronic Health Records
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An Evolving Ecosystem for Natural Language Processing in Department of Veterans Affairs.
Journal of medical systems
Jan 3, 2017
In an ideal clinical Natural Language Processing (NLP) ecosystem, researchers and developers would be able to collaborate with others, undertake validation of NLP systems, components, and related resources, and disseminate them. We captured requireme...
Development of Type 2 Diabetes Mellitus Phenotyping Framework Using Expert Knowledge and Machine Learning Approach.
Journal of diabetes science and technology
Dec 7, 2016
BACKGROUND: Phenotyping is an automated technique that can be used to distinguish patients based on electronic health records. To improve the quality of medical care and advance type 2 diabetes mellitus (T2DM) research, the demand for T2DM phenotypin...
Large-scale identification of patients with cerebral aneurysms using natural language processing.
Neurology
Dec 7, 2016
OBJECTIVE: To use natural language processing (NLP) in conjunction with the electronic medical record (EMR) to accurately identify patients with cerebral aneurysms and their matched controls.
An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification.
IEEE journal of biomedical and health informatics
Dec 5, 2016
The availability of medical imaging data from clinical archives, research literature, and clinical manuals, coupled with recent advances in computer vision offer the opportunity for image-based diagnosis, teaching, and biomedical research. However, t...
Learning from heterogeneous temporal data in electronic health records.
Journal of biomedical informatics
Dec 2, 2016
Electronic health records contain large amounts of longitudinal data that are valuable for biomedical informatics research. The application of machine learning is a promising alternative to manual analysis of such data. However, the complex structure...
$\mathtt {Deepr}$: A Convolutional Net for Medical Records.
IEEE journal of biomedical and health informatics
Dec 1, 2016
Feature engineering remains a major bottleneck when creating predictive systems from electronic medical records. At present, an important missing element is detecting predictive regular clinical motifs from irregular episodic records. We present Deep...
Detecting negation and scope in Chinese clinical notes using character and word embedding.
Computer methods and programs in biomedicine
Nov 23, 2016
BACKGROUND AND OBJECTIVES: Researchers have developed effective methods to index free-text clinical notes into structured database, in which negation detection is a critical but challenging step. In Chinese clinical records, negation detection is par...
Clinical Natural Language Processing in 2015: Leveraging the Variety of Texts of Clinical Interest.
Yearbook of medical informatics
Nov 10, 2016
OBJECTIVE: To summarize recent research and present a selection of the best papers published in 2015 in the field of clinical Natural Language Processing (NLP).
Aspiring to Unintended Consequences of Natural Language Processing: A Review of Recent Developments in Clinical and Consumer-Generated Text Processing.
Yearbook of medical informatics
Nov 10, 2016
OBJECTIVES: This paper reviews work over the past two years in Natural Language Processing (NLP) applied to clinical and consumer-generated texts.
Causality patterns and machine learning for the extraction of problem-action relations in discharge summaries.
International journal of medical informatics
Nov 9, 2016
Clinical narrative text includes information related to a patient's medical history such as chronological progression of medical problems and clinical treatments. A chronological view of a patient's history makes clinical audits easier and improves q...
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