Major Adverse Cardiovascular Events in Coronary Type 2 Diabetic Patients: Identification of Associated Factors Using Electronic Health Records and Natural Language Processing

Autores de IIS La Fe

• 

  Luis Vicente Martínez Dolz

  Autor

Participantes ajenos a IIS La Fe

• González-Juanatey C.
• Anguita-Sánchez M.
• Barrios V.
• Núñez-Gil I.
• Gómez-Doblas J.J.
• García-Moll X.
• Lafuente-Gormaz C.
• Rollán-Gómez M.J.
• Peral-Disdier V.
• Rodríguez-Santamarta M.
• Viñolas-Prat X.
• Soriano-Colomé T.
• Muñoz-Aguilera R.
• Plaza I.
• Curcio-Ruigómez A.
• Orts-Soler E.
• Segovia J.
• Fanjul V.
• Cequier Á.

Grupos

• Grupo de Investigación Clínica y Traslacional en Cardiología

Abstract

Abstract no disponible

Keywords

• acetylsalicylic acid; alpha glucosidase inhibitor; angiotensin receptor antagonist; antilipemic agent; antivitamin K; beta adrenergic receptor blocking agent; dipeptidyl carboxypeptidase inhibitor; dipeptidyl peptidase IV inhibitor; diuretic agent; glucagon like peptide 1 receptor agonist; hydroxymethylglutaryl coenzyme A reductase inhibitor; insulin derivative; metformin; nitrate; nitric acid derivative; sodium glucose cotransporter 2 inhibitor; sulfonylurea derivative; adult; aged; Article; cardiovascular disease; coronary artery disease; cross-sectional study; diabetic patient; electronic health record; female; heart failure; human; hyperlipidemia; hypertension; insulin treatment; machine learning; major clinical study; male; multicenter study (topic); natural language processing; non insulin dependent diabetes mellitus; obesity; observational study; percutaneous coronary intervention; retrospective study; risk factor; Spain; transient ischemic attack