Results 161 to 170 of about 171,812 (237)
Machine learning-based risk assessment for cardiovascular diseases in patients with chronic lung diseases. [PDF]
Xi H, Kang Q, Jiang X.
europepmc +1 more source
Abstract Right ventricular failure (RVF) is a common complication following left ventricular assist device (LVAD) implantation and increases patient morbidity and mortality. Due to the complex and limited understanding of RVF pathophysiology, efforts to prognosticate RVF after LVAD have been challenging.
Abdul‐Fatawu Osman+11 more
wiley +1 more source
Hemostatic activation during cardiopulmonary bypass with different aprotinin dosages in pediatric patients having cardiac operations [PDF]
Baranky, A.+7 more
core
Abstract Aims Cardiopulmonary bypass (CPB) is the standard approach for coronary artery bypass grafting (CABG) in advanced ischaemic cardiomyopathy. Microaxial pump support has been envisioned to allow for beating‐heart CABG without CPB (MPCAB), thereby avoiding CPB‐inherent complications.
Anna Kathrin Assmann+5 more
wiley +1 more source
Intelligent predictive risk assessment and management of sarcopenia in chronic disease patients using machine learning and a web-based tool. [PDF]
Rong K, Yi Ke Ran GLJ, Zhou C, Yi X.
europepmc +1 more source
Types of Heart-lung Machines used in Extra-Corporeal Circulation [PDF]
openaire +3 more sources
Acoustic features are independently associated with heart failure and pulmonary hypertension
Abstract Introduction Acoustic analysis of speech has discriminated decompensated acute heart failure (HF). Speech rate (SR) and cepstral peak prominence (CPP) variation are among features previously evaluated. However, the association between SR and CPP and chronic stable HF with and without pulmonary hypertension (PH) as well as PH alone have not ...
Jaskanwal Deep S. Sara+6 more
wiley +1 more source
Machine learning in solid organ transplantation: Charting the evolving landscape. [PDF]
Rawashdeh B+5 more
europepmc +1 more source
(A) Univariable receiver operating characteristic (ROC) curves for all biomarkers. (B) Kaplan–Meier curves for best cut‐point of mid‐regional pro‐adrenomedullin (MR‐proADM) for survival (n = 442). AUC, area under the curve; CI, confidence interval; HR, hazard ratio; hsTnT, high‐sensitivity troponin T; MR‐proANP, mid‐regional pro‐atrial natriuretic ...
Markus S. Anker+18 more
wiley +1 more source
Diagnostic tools in respiratory medicine (Review). [PDF]
Georgakopoulou VE+2 more
europepmc +1 more source