Author: John S Chorba; Avi M Shapiro; Le Le; John Maidens; John Prince; Steve Pham; Mia M Kanzawa; Daniel N Barbosa; Brent E White; Jason Paek; Sophie G Fuller; Grant W Stalker; Sara A Bravo; Dina Jean; Subramaniam Venkatraman; Patrick M McCarthy; James D Thomas
Title: A Deep Learning Algorithm for Automated Cardiac Murmur Detection Via a Digital Stethoscope Platform Document date: 2020_4_3
ID: fogzjrk2_21
Snippet: Data analysis and visualization was performed in Python using the standard packages numpy, pandas, seaborn, and matplotlib. Confidence intervals were computed by bootstrap rather than approximations which require assumptions about data distributions. To compare proportions, such as sensitivity, on different data samples, the 'N-1' chi-squared test was used for statistical significance......
Document: Data analysis and visualization was performed in Python using the standard packages numpy, pandas, seaborn, and matplotlib. Confidence intervals were computed by bootstrap rather than approximations which require assumptions about data distributions. To compare proportions, such as sensitivity, on different data samples, the 'N-1' chi-squared test was used for statistical significance.
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