Results 81 to 90 of about 12,339 (203)
Application of isotonic regression in estimating EDg and its 95% confidence interval by bootstrap method for a biased coin up-and-down sequential dose-finding design. [PDF]
Hemraj C +3 more
europepmc +1 more source
ABSTRACT Machine learning provides a powerful tool to capture complex, nonlinear patterns in biomedical data and enhance precision risk stratification. In this study, we applied a multilayer perceptron (MLP) framework to classify Framingham Risk Score–based cardiovascular risk categories in patients with obstructive sleep apnea (OSA).
Feng Zhao +10 more
wiley +1 more source
Modified isotonic regression based phase I/II clinical trial design identifying optimal biological dose. [PDF]
Qiu Y +5 more
europepmc +1 more source
Engineered surface strategies to manage dental implant‐related infections
Abstract When exposed to the oral environment, dental implants, like natural surfaces, become substrates for microbial adhesion and accumulation, often leading to implant‐related infections—one of the main causes of implant failure. These failures impose significant costs on patients, clinicians, and healthcare systems.
João Gabriel S. Souza +7 more
wiley +1 more source
Abstract Serial sarcomere number (SSN) is reduced following immobilization of a muscle in a shortened position in male rodents thereby impairing muscle contractile function. However, in female rodents the effects of oestrogen on SSN and mechanical changes following immobilization and re‐ambulation are unknown.
Alexandra Q. Kirkup +3 more
wiley +1 more source
Estimation of Growth Curves of Awassi Sheep by Isotonic Regression Analysis
Aycan Mutlu YAĞANOĞLU
doaj +1 more source
Abstract figure legend In healthy young males, we found that skeletal muscle hypertrophy following a period of resistance exercise training (RET) was consistent within and between subjects, as assessed using a variety of established methods. The skeletal muscle hypertrophic response was independent of external load.
Matthew J. Lees +11 more
wiley +1 more source
Accurate and well-calibrated heart disease risk prediction is essential for supporting medical decision-making. This study analyzes Logistic Regression as an applied statistical model for heart disease prediction using the UCI Heart Disease dataset ...
Andi Cahyono +4 more
doaj +1 more source
Background Tuberculosis (TB) is the infectious disease that kills the most people worldwide. The use of geoepidemiological techniques to demonstrate the dynamics of the disease in vulnerable communities is essential for its control.
Luana Seles Alves +17 more
doaj +1 more source
ABSTRACT Objective This study aims to explore the association between exposure to di‐(2‐ethylhexyl) phthalate (DEHP) and diabetic kidney disease (DKD), and to elucidate its potential molecular mechanisms. The study findings provide scientific evidence for the prevention and control of environmental risk factors related to DKD.
Dapeng Yin +6 more
wiley +1 more source

