Results 291 to 300 of about 23,798,154 (337)

A risk model to predict atrial fibrillation in diabetes using machine learning: The ACCORD study. [PDF]

open access: yesAm Heart J Plus
Offerman EJ   +5 more
europepmc   +1 more source

Predicting Left Ventricular Ejection Fraction Recovery After Percutaneous Coronary Intervention in Patients With Chronic Coronary Syndrome by Using Interpretable Machine Learning Models: Retrospective Study.

open access: yesJMIR Med Inform
Ding J   +22 more
europepmc   +1 more source

Human Cardiovascular Model and Applications

Journal of Medical Systems, 2010
Cardiovascular diseases (CVDs) can be known as a class of diseases which affect different parts of the cardiovascular system such as the heart or blood vessels. Hemodynamic signals are an important tool used by doctors to diagnose the type of CVD occurred in a patient. Diagnosing the correct type of CVD in a patient early will allow the patient to have
K Y, Zhu   +3 more
openaire   +2 more sources

Conceptual Modeling of Cardiovascular Sounds

2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005
In this paper, it is shown that the main source of mechanical energy of cardiovascular (CV) system i.e., rhythmic heart contraction is transformed to the oscillations of the CV walls and blood flow, and finally CV acoustical waves. These waves propagate through both blood flow (hemodynamical pathways) and tissues (viscoelastical pathways) toward the ...
Majid, Pouladian   +1 more
openaire   +2 more sources

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