AIMC Topic: Electronic Health Records

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Cost-aware active learning for named entity recognition in clinical text.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Active Learning (AL) attempts to reduce annotation cost (ie, time) by selecting the most informative examples for annotation. Most approaches tacitly (and unrealistically) assume that the cost for annotating each sample is identical. This ...
Models, Economic Information Storage and Retrieval Electronic Health Records Big Data Natural Language Processing Humans Algorithms Computer Simulation
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Toward a clinical text encoder: pretraining for clinical natural language processing with applications to substance misuse.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Our objective is to develop algorithms for encoding clinical text into representations that can be used for a variety of phenotyping tasks.
Clinical Coding Substance-Related Disorders Datasets as Topic Information Storage and Retrieval Neural Networks, Computer Algorithms Electronic Health Records Deep Learning Humans Big Data Natural Language Processing
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Optimizing clinical trials recruitment via deep learning.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Clinical trials, prospective research studies on human participants carried out by a distributed team of clinical investigators, play a crucial role in the development of new treatments in health care. This is a complex and expensive proce...
Humans Databases, Factual Data Mining Research Personnel Clinical Trials as Topic Electronic Health Records Deep Learning Patient Selection Insurance Claim Reporting
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Development and application of a high throughput natural language processing architecture to convert all clinical documents in a clinical data warehouse into standardized medical vocabularies.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Natural language processing (NLP) engines such as the clinical Text Analysis and Knowledge Extraction System are a solution for processing notes for research, but optimizing their performance for a clinical data warehouse remains a challen...
Patient Readmission Electronic Health Records Unified Medical Language System Humans Natural Language Processing Vocabulary, Controlled Machine Learning Data Mining
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Clinician Perception of a Machine Learning-Based Early Warning System Designed to Predict Severe Sepsis and Septic Shock.

Critical care medicine Nov 1, 2019
OBJECTIVE: To assess clinician perceptions of a machine learning-based early warning system to predict severe sepsis and septic shock (Early Warning System 2.0).
Humans Attitude of Health Personnel Nursing Staff, Hospital Machine Learning Shock, Septic Sepsis Practice Patterns, Nurses' Prospective Studies Algorithms Medical Staff, Hospital Decision Support Systems, Clinical Practice Patterns, Physicians' Electronic Health Records Hospitals, Teaching Text Messaging Diagnosis, Computer-Assisted
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Primer on machine learning: utilization of large data set analyses to individualize pain management.

Current opinion in anaesthesiology Oct 1, 2019
PURPOSE OF REVIEW: Pain researchers and clinicians increasingly encounter machine learning algorithms in both research methods and clinical practice. This review provides a summary of key machine learning principles, as well as applications to both s...
Neuroimaging Pain Management Datasets as Topic Facial Expression Machine Learning Data Analysis Electronic Health Records Humans Treatment Outcome Pain Measurement Pain
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A network model of activities in primary care consultations.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2019
OBJECTIVE: The objective of this study is to characterize the dynamic structure of primary care consultations by identifying typical activities and their inter-relationships to inform the design of automated approaches to clinical documentation using...
Family Practice Humans Automation Primary Health Care Electronic Health Records Medical History Taking Natural Language Processing Physical Examination Documentation
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Learning to detect and understand drug discontinuation events from clinical narratives.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2019
OBJECTIVE: Identifying drug discontinuation (DDC) events and understanding their reasons are important for medication management and drug safety surveillance. Structured data resources are often incomplete and lack reason information. In this article...
Product Surveillance, Postmarketing Electronic Health Records Natural Language Processing Humans Drug Therapy Support Vector Machine Machine Learning Area Under Curve Narration Pharmacovigilance
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Comprehensive Word-Level Classification of Screening Mammography Reports Using a Neural Network Sequence Labeling Approach.

Journal of digital imaging Oct 1, 2019
Radiology reports contain a large amount of potentially valuable unstructured data. Recently, neural networks have been employed to perform classification of radiology reports over a few classes at the document level. The success of neural networks i...
Humans Mammography Female Research Report Neural Networks, Computer Reproducibility of Results Image Interpretation, Computer-Assisted Databases, Factual Breast Neoplasms Electronic Health Records
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Deep Learning Approaches Outperform Conventional Strategies in De-Identification of German Medical Reports.

Studies in health technology and informatics Sep 3, 2019
One of the major obstacles for research on German medical reports is the lack of de-identified medical corpora. Previous de-identification tasks focused on non-German medical texts, which raised the demand for an in-depth evaluation of de-identificat...
Natural Language Processing Machine Learning Data Anonymization Electronic Health Records Deep Learning
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