AIMC Topic: Electronic Health Records
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Assessing data availability and quality within an electronic health record system through external validation against an external clinical data source.
BMC medical informatics and decision making
Jul 25, 2019
BACKGROUND: Approximately 20% of deaths in the US each year are attributable to smoking, yet current practices in the recording of this health risk in electronic health records (EHRs) have not led to discernable changes in health outcomes. Several gr...
Use of Natural Language Processing Tools to Identify and Classify Periprosthetic Femur Fractures.
The Journal of arthroplasty
Jul 24, 2019
BACKGROUND: Manual chart review is labor-intensive and requires specialized knowledge possessed by highly trained medical professionals. The cost and infrastructure challenges required to implement this is prohibitive for most hospitals. Natural lang...
Readmission prediction using deep learning on electronic health records.
Journal of biomedical informatics
Jul 24, 2019
Unscheduled 30-day readmissions are a hallmark of Congestive Heart Failure (CHF) patients that pose significant health risks and escalate care cost. In order to reduce readmissions and curb the cost of care, it is important to initiate targeted inter...
Development and validation of a pragmatic natural language processing approach to identifying falls in older adults in the emergency department.
BMC medical informatics and decision making
Jul 22, 2019
BACKGROUND: Falls among older adults are both a common reason for presentation to the emergency department, and a major source of morbidity and mortality. It is critical to identify fall patients quickly and reliably during, and immediately after, em...
Is it possible to automatically assess pretreatment digital rectal examination documentation using natural language processing? A single-centre retrospective study.
BMJ open
Jul 18, 2019
OBJECTIVES: To develop and test a method for automatic assessment of a quality metric, provider-documented pretreatment digital rectal examination (DRE), using the outputs of a natural language processing (NLP) framework.
TyG-er: An ensemble Regression Forest approach for identification of clinical factors related to insulin resistance condition using Electronic Health Records.
Computers in biology and medicine
Jul 17, 2019
BACKGROUND: Insulin resistance is an early-stage deterioration of Type 2 diabetes. Identification and quantification of insulin resistance requires specific blood tests; however, the triglyceride-glucose (TyG) index can provide a surrogate assessment...
Beyond the hype of big data and artificial intelligence: building foundations for knowledge and wisdom.
BMC medicine
Jul 17, 2019
Big data, coupled with the use of advanced analytical approaches, such as artificial intelligence (AI), have the potential to improve medical outcomes and population health. Data that are routinely generated from, for example, electronic medical reco...
Machine Learning-Based Predictive Modeling of Surgical Intervention in Glaucoma Using Systemic Data From Electronic Health Records.
American journal of ophthalmology
Jul 16, 2019
PURPOSE: To predict the need for surgical intervention in patients with primary open-angle glaucoma (POAG) using systemic data in electronic health records (EHRs).
Performance of a Natural Language Processing Method to Extract Stone Composition From the Electronic Health Record.
Urology
Jul 13, 2019
OBJECTIVES: To demonstrate the utility of a natural language processing (NLP) algorithm for mining kidney stone composition in a large-scale electronic health records (EHR) repository.
A disease inference method based on symptom extraction and bidirectional Long Short Term Memory networks.
Methods (San Diego, Calif.)
Jul 10, 2019
The wide applications of automatic disease inference in many medical fields improve the efficiency of medical treatments. Many efforts have been made to predict patients' future health conditions according to their full clinical texts, clinical measu...
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