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Original article
Using electronic health records to predict costs and outcomes in stable coronary artery disease

 

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Feb 201674234865
Mar 201690321157
Apr 2016104916774
May 201690619092
Jun 20161647830
Jul 20161158234
Aug 20161017523
Sep 2016776429
Oct 2016845726
Nov 2016846230
Dec 2016698425
Jan 2017675025
Feb 2017185923
Mar 2017115417
Apr 201788619
May 201747314
Jun 2017216053
Jul 2017424027
Aug 2017706725
Sep 2017665623
Oct 2017826719
Nov 201711410734
Dec 2017585811
Jan 20189610221
Feb 2018626312
Mar 2018757316
Apr 2018797710
May 2018787920
Jun 2018706610
Jul 2018757321
Aug 2018878522
Sep 201861599
Oct 201816115910
Nov 201814414211
Dec 201814314314
Jan 20191071039
Feb 2019878718
Mar 2019917418
Apr 2019636017
May 2019656523
Jun 2019484419
Jul 2019534615
Aug 2019484425
Sep 2019767118
Oct 2019896734
Nov 2019795327
Dec 2019866121
Jan 2020685726
Feb 2020454219
Mar 2020655631
Apr 2020524471
May 2020605032
Jun 2020585322
Jul 2020423819
Aug 2020534541
Sep 2020524127
Oct 2020453824
Nov 2020795734
Dec 2020332516
Jan 2021735824
Feb 2021947230
Mar 2021706414
Apr 2021834327
May 2021484614
Jun 2021303026
Jul 2021424230
Aug 2021222218
Sep 2021575729
Oct 2021685036
Total811751211805