00956nas a2200361   4500000000100000000000100001000000100002008004100003653001100044653001400055653003000069653002500099653004200124653002100166100001600187700001600203700001200219700001300231700001600244700001700260700001100277700001700288700001800305700001200323700001500335700001500350700001700365245016300382250001500545300001400560490000600574020001400580       2023                            d10aHumans10aPrognosis10aElectronic Health Records10a*atrial fibrillation10a*Heart Failure/diagnosis/epidemiology10amachine learning1 aA. Banerjee1 aA. Dashtban1 aS. Chen1 aL. Pasea1 aJ. Thygesen1 aG. Fatemifar1 aB. Tyl1 aT. Dyszynski1 aF. Asselbergs1 aL. Lund1 aT. Lumbers1 aS. Denaxas1 aH. Hemingway00aIdentifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study  a2023/05/27  ae370-e3790 v5  a2589-7500