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Philips Healthcare
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PANalytical
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xcelerator detector - by Bioz Stars,
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Philips Healthcare
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Digisonics Inc
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Philips Healthcare
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Vingmed AS
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Philips Healthcare
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Philips Healthcare
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Image Search Results
Journal: Circulation
Article Title: rECHOmmend: An ECG-Based Machine Learning Approach for Identifying Patients at Increased Risk of Undiagnosed Structural Heart Disease Detectable by Echocardiography
doi: 10.1161/CIRCULATIONAHA.121.057869
Figure Lengend Snippet: Flow diagram from source data to the study datasets. We processed data from research repositories created using EHR data from Epic, ECG data from MUSE, and echocardiography data from Xcelera. The clinical MUSE database was processed to include 12-lead ECGs sampled at either 250 Hz or 500 Hz, acquired after 1984 from patients >18 years. ECG indicates electrocardiogram; EHR, electronic health record; and Echo, echocardiography.
Article Snippet: We retrieved and processed data from 3 clinical sources at Geisinger, a large regional US health system providing both inpatient and outpatient care, including 2 110 332 patients from the Epic (Epic Systems, Madison, Wisconsin) electronic health record, 758 269 echocardiograms from
Techniques: