Risk prediction for myocardial infarction via generalized functional regression models

Statistical Methods in Medical Research

Volumn 25, Issue 4, 2016, Pages 1648-1660

  Ieva, Francesca ^a   Paganoni, Anna M ^a  

^a POLITECNICO DI MILANO   (Italy)

Author keywords

ECG signals; generalized linear models; multivariate functional data

Indexed keywords

CARDIOVASCULAR RISK; CONCEPTUAL FRAMEWORK; CONFERENCE PAPER; DIAGNOSTIC PROCEDURE; ELECTROCARDIOGRAM; ELECTROCARDIOGRAPHY; HEART INFARCTION; HEART LEFT BUNDLE BRANCH BLOCK; HEART RHYTHM; HUMAN; MAJOR CLINICAL STUDY; MATHEMATICAL COMPUTING; P WAVE; PRINCIPAL COMPONENT ANALYSIS; QRS INTERVAL; REGRESSION ANALYSIS; SIGNAL PROCESSING; STATISTICAL ANALYSIS; STATISTICAL MODEL; T WAVE; HEART BUNDLE BRANCH BLOCK; ITALY; MULTIVARIATE ANALYSIS; RISK;

BUNDLE-BRANCH BLOCK; ELECTROCARDIOGRAPHY; HUMANS; ITALY; LINEAR MODELS; MULTIVARIATE ANALYSIS; MYOCARDIAL INFARCTION; PRINCIPAL COMPONENT ANALYSIS; RISK;

EID: 84983752596     PISSN: 09622802     EISSN: 14770334     Source Type: Journal    
DOI: 10.1177/0962280213495988     Document Type: Conference Paper

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