Journal of cardiothoracic and vascular anesthesia
Oct 19, 2015
OBJECTIVES: To investigate whether using hydroxyethyl starch (HES) 130/0.4 as a pump prime and for intraoperative fluid therapy is associated with postoperative acute kidney injury (AKI) after adult cardiac surgery.
OBJECTIVE: To compare the results of traditional laparoscopy and a simple, single-docking robotic approach for retroperitoneal lymph node dissection (RPLND), nephroureterectomy, and bladder cuff excision.
BACKGROUND: Severe primary (degenerative) mitral regurgitation (MR) is repaired with durable results when simple single-scallop disease is addressed. The midterm quality outcomes of minimally invasive repair for complex disease are unknown, however.
INTRODUCTION: Gastric cancer represents a great challenge for healthcare providers and requires a multidisciplinary treatment approach in which surgery plays a major role. Minimally invasive surgery has been progressively developed, first with the ad...
Accurate diagnosis of Alzheimer's disease and its prodromal stage, i.e., mild cognitive impairment, is very important for early treatment. Over the last decade, various machine learning methods have been proposed to predict disease status and clinica...
BACKGROUND: Familial hypercholesterolemia (FH) features elevated oxidative stress and accelerated atherosclerosis driven by elevated levels of atherogenic lipoproteins relative to subnormal levels of atheroprotective high-density lipoprotein (HDL). S...
BACKGROUND: The clinically used methods of pain diagnosis do not allow for objective and robust measurement, and physicians must rely on the patient's report on the pain sensation. Verbal scales, visual analog scales (VAS) or numeric rating scales (N...
Journal of neuroengineering and rehabilitation
Oct 14, 2015
BACKGROUND: Wearable sensor systems can provide data for at-home gait analyses and input to controllers for rehabilitation devices but they often have reduced estimation accuracy compared to laboratory systems. The goal of this study is to evaluate a...
BMC medical informatics and decision making
Oct 14, 2015
BACKGROUND: Predictive models for delayed graft function (DGF) after kidney transplantation are usually developed using logistic regression. We want to evaluate the value of machine learning methods in the prediction of DGF.
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