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3. Machine Learning Algorithms

5. Multicenter validation of a machine learning phase space electro-mechanical pulse wave analysis to predict elevated left ventricular end diastolic pressure at the point-of-care

6. Identifying novel phenotypes of elevated left ventricular end diastolic pressure using hierarchical clustering of features derived from electromechanical waveform data

7. Development and validation of a machine learned algorithm to IDENTIFY functionally significant coronary artery disease

12. Chronic arsenic exposure and cardiac repolarization abnormalities with QT interval prolongation in a population-based study

13. Prophylactic defibrillator implantation in patients with nonischemic dilated cardiomyopathy

15. Syncope

16. Contributeurs

17. Contributors

18. Syncope

26. Colaboradores

29. Cardiac Phase Space Tomography: A novel method of assessing coronary artery disease utilizing machine learning

32. Atrial fibrillation and other tachycardias

35. No nuclear debate?

38. Cardiac Resynchronization Therapy in Women Versus Men

39. Reply

41. Sex-Specific Mortality Risk by QRS Morphology and Duration in Patients Receiving CRT

46. Thrombus Formation with Rehydrated, Lyophilized Platelets

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