Deep cross-modal feature learning applied to predict acutely decompensated heart failure using in-home collected electrocardiography and transthoracic bioimpedance
Xiang Pan, Chuangqi Wang, Yudong Yu, Nataša Reljin, David D. McManus, Chad E. Darling, Ki H. Chon, Yitzhak Mendelson, Kwonmoo Lee
Topics & Concepts
Artificial intelligenceDeep learningComputer scienceMachine learningFeature extractionFeature engineeringAcute decompensated heart failureFeature (linguistics)Support vector machineWearable computerF1 scorePattern recognition (psychology)Heart failureMedicineCardiologyPhilosophyLinguisticsEmbedded systemECG Monitoring and AnalysisNon-Invasive Vital Sign MonitoringPhonocardiography and Auscultation Techniques