AIMC Topic: Electronic Health Records
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On medical application of neural networks trained with various types of data.
Bioscience trends
Dec 17, 2018
Neural networks have garnered attention over the past few years. A neural network is a typical model of machine learning that is used to identify visual patterns. Neural networks are used to solve a wide variety of problems, including image recogniti...
Machine Learning for Data-Driven Discovery: The Rise and Relevance.
JACC. Cardiovascular imaging
Dec 12, 2018
Improving palliative care with deep learning.
BMC medical informatics and decision making
Dec 12, 2018
BACKGROUND: Access to palliative care is a key quality metric which most healthcare organizations strive to improve. The primary challenges to increasing palliative care access are a combination of physicians over-estimating patient prognoses, and a ...
EHR phenotyping via jointly embedding medical concepts and words into a unified vector space.
BMC medical informatics and decision making
Dec 12, 2018
BACKGROUND: There has been an increasing interest in learning low-dimensional vector representations of medical concepts from Electronic Health Records (EHRs). Vector representations of medical concepts facilitate exploratory analysis and predictive ...
Chronic Kidney Disease stratification using office visit records: Handling data imbalance via hierarchical meta-classification.
BMC medical informatics and decision making
Dec 12, 2018
BACKGROUND: Chronic Kidney Disease (CKD) is one of several conditions that affect a growing percentage of the US population; the disease is accompanied by multiple co-morbidities, and is hard to diagnose in-and-of itself. In its advanced forms it car...
Use of natural language processing in electronic medical records to identify pregnant women with suicidal behavior: towards a solution to the complex classification problem.
European journal of epidemiology
Dec 10, 2018
We developed algorithms to identify pregnant women with suicidal behavior using information extracted from clinical notes by natural language processing (NLP) in electronic medical records. Using both codified data and NLP applied to unstructured cli...
Validation of Prediction Models for Critical Care Outcomes Using Natural Language Processing of Electronic Health Record Data.
JAMA network open
Dec 7, 2018
IMPORTANCE: Accurate prediction of outcomes among patients in intensive care units (ICUs) is important for clinical research and monitoring care quality. Most existing prediction models do not take full advantage of the electronic health record, usin...
A comparative quantitative study of utilizing artificial intelligence on electronic health records in the USA and China during 2008-2017.
BMC medical informatics and decision making
Dec 7, 2018
BACKGROUND: The application of artificial intelligence techniques for processing electronic health records data plays increasingly significant role in advancing clinical decision support. This study conducts a quantitative comparison on the research ...
Selecting Test Cases from the Electronic Health Record for Software Testing of Knowledge-Based Clinical Decision Support Systems.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
Software testing of knowledge-based clinical decision support systems is challenging, labor intensive, and expensive; yet, testing is necessary since clinical applications have heightened consequences. Thoughtful test case selection improves testing ...
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