Results 71 to 80 of about 23,657,443 (332)
Scientia Agropecuaria, 2013 The Gompertz and logistic mathematical models in the Spirulina sp. growth kinetics were evaluated and were compared with a modeling through Backpropagation Artificial Neural Networks (BP- ANN).
Víctor Vásquez-Villalobos +3 more
doaj +1 more source
A descriptive and validation study of a predictive model of severity of SARS-COV-2 infection
Advances in Laboratory Medicine, 2021 The strain the SARS-COV-2 pandemic is putting on hospitals requires that predictive values are identified for a rapid triage and management of patients at a higher risk of developing severe COVID-19. We developed and validated a prognostic model of COVID-
Villena-Ortiz Yolanda +8 more
doaj +1 more source
A logistic regression model for microalbuminuria prediction in overweight male population [PDF]
, 2010 Background: Obesity promotes progression to microalbuminuria and increases the risk of chronic kidney disease. Current protocols of screening microalbuminuria are not recommended for the overweight or obese. Design and Methods: A cross-
BaoDe Chen +5 more
core +1 more source
Molecular Oncology, EarlyView.This study characterizes the responses of primary acute myeloid leukemia (AML) patient samples to the MCL‐1 inhibitor MIK665. The results revealed that monocytic differentiation is associated with MIK665 sensitivity. Conversely, elevated ABCB1 expression is a potential biomarker of resistance to the treatment, which can be overcome by the combination ...
Joseph Saad +17 more
wiley +1 more source
A Review of the Logistic Regression Model with Emphasis on Medical Research
Journal of Data Analysis and Information Processing, 2019 This study explored and reviewed the logistic regression (LR) model, a multivariable method for modeling the relationship between multiple independent variables and a categorical dependent variable, with emphasis on medical research.
E. Y. Boateng, D. Abaye
semanticscholar +1 more source
Molecular Oncology, EarlyView.Liquid biopsy enables minimally invasive, real‐time molecular profiling through analysis of circulating biomarkers in biological fluids. This Perspective highlights the importance of training pathologists through integrative educational programs, such as the European Masters in Molecular Pathology, to ensure effective and equitable implementation of ...
Marius Ilié +13 more
wiley +1 more source
Remote Sensing, 2019 Studies of the spatial extent of surface urban heat island (SUHI or UHISurf) effects require precise determination of the footprint (FP) boundary. Currently available methods overestimate or underestimate the SUHI FP boundary, and can even alter its ...
Zhi Qiao +7 more
doaj +1 more source
A Fused Elastic Net Logistic Regression Model for Multi-Task Binary Classification [PDF]
, 2013 Multi-task learning has shown to significantly enhance the performance of multiple related learning tasks in a variety of situations. We present the fused logistic regression, a sparse multi-task learning approach for binary classification. Specifically,
Claassen, Manfred, Mitov, Venelin
core
Next‐generation proteomics improves lung cancer risk prediction
Molecular Oncology, EarlyView.This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj +4 more
wiley +1 more source
Journal of Sustainable Development of Energy, Water and Environment Systems, 2020 Active modes of transportation are essential for the promotion of sustainable mobility. Increasing cycling and walking participation has the potential to improve various aspects of traffic congestion and contribute to human health. The goal of this study
Elisa Henning +2 more
doaj +1 more source