Beatquency domain and machine learning improve prediction of cardiovascular death after acute coronary syndrome

Common neighbours and the local-community-paradigm for topological link prediction in bipartite networks

(2015) Simone Daminelli et al.   NEW JOURNAL OF PHYSICS

Evaluating link prediction methods

(2014) Yang Yang et al.   KNOWLEDGE AND INFORMATION SYSTEMS

ECG Morphological Variability in Beat Space for Risk Stratification After Acute Coronary Syndrome

(2014) Yun Liu et al.   Journal of the American Heart Association

Minimum curvilinearity to enhance topological prediction of protein interactions by network embedding

(2013) Carlo Vittorio Cannistraci et al.   BIOINFORMATICS

Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers

(2010) Michael J. Pencina et al.   STATISTICS IN MEDICINE

Spectral Energy of ECG Morphologic Differences to Predict Death

(2009) Zeeshan Syed et al.   Cardiovascular engineering (Dordrecht, Netherlands)

Relation of Death Within 90 Days of Non-ST-Elevation Acute Coronary Syndromes to Variability in Electrocardiographic Morphology

(2008) Zeeshan Syed et al.   AMERICAN JOURNAL OF CARDIOLOGY

Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal

(2008) Babak Mohammadzadeh Asl et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE