Results 1 to 10 of about 2,942,669 (315)

Clinicopathological features, risk model and prognosis of 115 cases of epithelioid hemangioendothelioma: A single-center study [PDF]

open access: yesFrontiers in Oncology
ObjectiveTo investigate the clinicopathological features, diagnostic value, risk model and prognostic significance of epithelioid hemangioendothelioma (EHE) in a retrospective cohort of 115 cases.MethodsA total of 115 cases of EHE diagnosed in the Cancer
Shihui Zhang   +5 more
doaj   +2 more sources

Earthquake building damage detection based on synthetic-aperture-radar imagery and machine learning [PDF]

open access: yesNatural Hazards and Earth System Sciences, 2023
This article presents a framework for semi-automated building damage assessment due to earthquakes from remote-sensing data and other supplementary datasets, while also leveraging recent advances in machine-learning algorithms.
A. Rao   +6 more
doaj   +1 more source

Backward Deep BSDE Methods and Applications to Nonlinear Problems

open access: yesRisks, 2023
We present a pathwise deep Backward Stochastic Differential Equation (BSDE) method for Forward Backward Stochastic Differential Equations with terminal conditions that time-steps the BSDE backwards and apply it to the differential rates problem as a ...
Yajie Yu   +2 more
doaj   +1 more source

Predicting take-up of home loan offers using tree-based ensemble models: A South African case study

open access: yesSouth African Journal of Science, 2021
We investigated different take-up rates of home loans in cases in which banks offered different interest rates. If a bank can increase its take-up rates, it could possibly improve its market share.
Tanja Verster   +3 more
doaj   +1 more source

Model Risk of Risk Models [PDF]

open access: yesSSRN Electronic Journal, 2014
This paper evaluates the model risk of models used for forecasting systemic and market risk. Model risk, which is the potential for different models to provide inconsistent outcomes, is shown to be increasing with and caused by market uncertainty. During calm periods, the underlying risk forecast models produce similar risk readings, hence, model risk ...
Danielsson, Jon   +3 more
openaire   +4 more sources

Key factors to establish the ovalbumin-induced atopic dermatitis minipig model: age and body weight

open access: yesLaboratory Animal Research, 2022
Background Given its similar structure and immune response to the human skin, porcine is a good model for dermal studies. Here, we sensitized ovalbumin (Ova) on minipig back skin for 2–4 weeks to induce chronic atopic dermatitis (AD).
Young Kyu Kim   +5 more
doaj   +1 more source

Local Linear Approximation Algorithm for Neural Network

open access: yesMathematics, 2022
This paper aims to develop a new training strategy to improve efficiency in estimation of weights and biases in a feedforward neural network (FNN). We propose a local linear approximation (LLA) algorithm, which approximates ReLU with a linear function at
Mudong Zeng   +3 more
doaj   +1 more source

Risk prediction models [PDF]

open access: yesNephrology Dialysis Transplantation, 2013
Prognostic research focuses on the prediction of the future course of a given disease in probability terms. Prognostication is performed by clinical decision makers by using risk prediction models that allow us to estimate the probability that a specific event occurs in a given patient over a predefined time period conditional on prognostic factors ...
Tripepi G   +5 more
openaire   +3 more sources

Extension of SABR Libor Market Model to handle negative interest rates

open access: yesQuantitative Finance and Economics, 2020
Variations of Libor Market Model (LMM), including Constant Elasticity of Variance-LMM (CEV-LMM) and Stochastic Alpha-Beta-Rho LMM (SABR-LMM), have become popular for modeling interest rate term structure.
Jie Xiong, Geng Deng, Xindong Wang
doaj   +1 more source

Heart rate and oxygen uptake kinetics obtained from continuous measurements with wearable devices during outdoor walks of patients with COPD

open access: yesDigital Health, 2023
Objective Continuous physiological measurements during a laboratory-based exercise test can provide physiological biomarkers, such as heart rate (HR) and oxygen uptake (V̇O 2 ) kinetics, that carry clinically relevant information.
Joren Buekers   +6 more
doaj   +1 more source

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