AIMC Topic: Big Data

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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 ...
Computer Simulation Electronic Health Records Big Data Humans Algorithms Information Storage and Retrieval Natural Language Processing Models, Economic
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Enhancing clinical concept extraction with contextual embeddings.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: Neural network-based representations ("embeddings") have dramatically advanced natural language processing (NLP) tasks, including clinical NLP tasks such as concept extraction. Recently, however, more advanced embedding methods and represe...
Databases, Factual Big Data Information Storage and Retrieval Public Reporting of Healthcare Data Natural Language Processing Humans Neural Networks, Computer
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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.
Algorithms Electronic Health Records Deep Learning Humans Neural Networks, Computer Datasets as Topic Information Storage and Retrieval Clinical Coding Natural Language Processing Substance-Related Disorders Big Data
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A Seventh Sense: Sentience and Surgical Robotics.

Innovations (Philadelphia, Pa.) Oct 1, 2019
Robotics Robotic Surgical Procedures Cues Big Data Cognition Humans Machine Learning
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Big Data and Radiology Research.

Journal of the American College of Radiology : JACR Sep 1, 2019
Our understanding of human health may be significantly enhanced in the near future because of the unprecedented volume of digitized health care data and the availability of artificial intelligence to mine these data for correlations that could drive ...
Radiology Quality Improvement National Institutes of Health (U.S.) Humans Male Machine Learning Big Data Algorithms United States Artificial Intelligence Forecasting Female
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MODELHealth: Facilitating Machine Learning on Big Health Data Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
MODELHealth is a platform that aims to facilitate the implementation of Machine Learning (ML) techniques on medical data in order to upgrade the delivery of healthcare services. MODELHealth platform is a "holistic" approach to the implementation of p...
Big Data Machine Learning Algorithms Delivery of Health Care Neural Networks, Computer
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Using Big Data in eye research to answer important scientific questions.

Arquivos brasileiros de oftalmologia May 16, 2019
Humans Big Data Biomedical Research Artificial Intelligence Ophthalmology
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Big data and machine learning algorithms for health-care delivery.

The Lancet. Oncology May 1, 2019
Analysis of big data by machine learning offers considerable advantages for assimilation and evaluation of large amounts of complex health-care data. However, to effectively use machine learning tools in health care, several limitations must be addre...
Medical Oncology Humans Delivery of Health Care, Integrated Neoplasms Machine Learning Big Data Neural Networks, Computer Therapy, Computer-Assisted Diagnosis, Computer-Assisted Data Mining Health Services Research
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Signals Among Signals: Prioritizing Nongenetic Associations in Massive Data Sets.

American journal of epidemiology May 1, 2019
Massive data sets are often regarded as a panacea to the underpowered studies of the past. At the same time, it is becoming clear that in many of these data sets in which thousands of variables are measured across hundreds of thousands or millions of...
Machine Learning Big Data Biostatistics Models, Statistical Epidemiologic Research Design Humans Data Interpretation, Statistical Confounding Factors, Epidemiologic
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Cardiovascular calcification: artificial intelligence and big data accelerate mechanistic discovery.

Nature reviews. Cardiology May 1, 2019
Cardiovascular calcification is a health disorder with increasing prevalence and high morbidity and mortality. The only available therapeutic options for calcific vascular and valvular heart disease are invasive transcatheter procedures or surgeries ...
Artificial Intelligence Cardiovascular Diseases Calcinosis Molecular Imaging Big Data Humans Cardiovascular System
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