Finding missed cases of familial hypercholesterolemia in health systems using machine learning

Familial hypercholesterolemia (FH) is an underdiagnosed dominant genetic condition affecting approximately 0.4% of the population and has up to a 20-fold increased risk of coronary artery disease if untreated. Simple screening strategies have false positive rates greater than 95%. As part of the FH...

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Veröffentlicht in:	NPJ digital medicine 2019-04, Vol.2 (1), p.23-23, Article 23
Hauptverfasser:	Banda, Juan M., Sarraju, Ashish, Abbasi, Fahim, Parizo, Justin, Pariani, Mitchel, Ison, Hannah, Briskin, Elinor, Wand, Hannah, Dubois, Sebastien, Jung, Kenneth, Myers, Seth A., Rader, Daniel J., Leader, Joseph B., Murray, Michael F., Myers, Kelly D., Wilemon, Katherine, Shah, Nigam H., Knowles, Joshua W.
Format:	Artikel
Sprache:	eng
Schlagworte:	692/308/575 692/700 Biomedicine Biotechnology Cardiovascular disease Digital technology Electronic health records Health informatics Machine learning Medicine Medicine & Public Health
Online-Zugang:	Volltext
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