Results 101 to 110 of about 1,616 (163)

Using machine learning in pediatric cardio-oncology: we have the questions, we need the answers. [PDF]

Cardiooncology
Ryan TD, Villalobos Lizardi JC.
europepmc   +1 more source

Machine learning for classification of advanced rheumatic heart disease using electrocardiogram in cardiology ward. [PDF]

BMC Cardiovasc Disord
Chuma AT, Asmare MH, Varon C, Kassie DM, Wang C, Vanrumste B.   +5 more
europepmc   +1 more source

The burden of congenital heart disease in Malaysia: a comprehensive review and meta-analytic synthesis, 1970-2024. [PDF]

BMC Public Health
Kong AS, Khaw KY, Mood MC, Khan MA, Ayub Q, Maran S.   +5 more
europepmc   +1 more source

Hybrid vision transformer framework for congenital heart disease diagnosis. [PDF]

Sci Rep
Khan K, Irfanud D, Khan RU.
europepmc   +1 more source

Phonocardiography and Auscultation in Children

International Journal of Clinical Practice, 1957
openaire   +2 more sources

A Flexible PVDF Sensor for Forcecardiography. [PDF]

Sensors (Basel)
Parlato S, Centracchio J, Cinotti E, Gargiulo GD, Esposito D, Bifulco P, Andreozzi E.   +6 more
europepmc   +1 more source

Artificial intelligence and multimodal diagnostic approaches in cardiovascular disease. [PDF]

Arch Peru Cardiol Cir Cardiovasc
Ramos-Zaga FA.
europepmc   +1 more source

Evaluating heart rate variability by a novel stethoscopic approach to minimise stress in cats. [PDF]

J Feline Med Surg
Chen CR, Chang WT, Chen HW, Wu HD, Hsieh OF, Lin CH.   +5 more
europepmc   +1 more source