Machine learning vs. conventional statistical models for predicting heart failure readmission and mortality
Sign Up to like & getrecommendations! Published in 2020 at "ESC Heart Failure"
DOI: 10.1002/ehf2.13073
Abstract: This study aimed to review the performance of machine learning (ML) methods compared with conventional statistical models (CSMs) for predicting readmission and mortality in patients with heart failure (HF) and to present an approach to… read more here.
Keywords: machine learning; heart; conventional statistical; heart failure ... See more keywords
Monthly to seasonal prediction of tropical Atlantic sea surface temperature with statistical models constructed from observations and data from the Kiel Climate Model
Sign Up to like & getrecommendations! Published in 2020 at "Climate Dynamics"
DOI: 10.1007/s00382-020-05140-6
Abstract: We explore the predictability of tropical Atlantic sea surface temperature (SST) and the potential influence of climate model bias on SST predictions over the tropical Atlantic. Two statistical methods are used to examine the skill… read more here.
Keywords: climate model; tropical atlantic; atlantic sea; statistical models ... See more keywords
Sex estimation from the greater sciatic notch: a comparison of classical statistical models and machine learning algorithms
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Legal Medicine"
DOI: 10.1007/s00414-021-02700-1
Abstract: The greater sciatic notch (GSN) is a useful element for sex estimation because it is quite resistant to damage, and thus it can often be assessed even in poorly preserved skeletons. This study aimed to… read more here.
Keywords: sciatic notch; greater sciatic; accuracy; statistical models ... See more keywords
Combined finite element and statistical models for predicting force components on a cylindrical mouldboard plough
Sign Up to like & getrecommendations! Published in 2019 at "Biosystems Engineering"
DOI: 10.1016/j.biosystemseng.2019.07.007
Abstract: The force components of a soil-engaging machine are required for selecting tractor power and for the proper design of the machine. The finite element method (FEM) was combined with regression analyses to develop models for… read more here.
Keywords: force components; force; finite element; statistical models ... See more keywords
MSMBuilder: Statistical Models for Biomolecular Dynamics.
Sign Up to like & getrecommendations! Published in 2017 at "Biophysical journal"
DOI: 10.1016/j.bpj.2016.10.042
Abstract: MSMBuilder is a software package for building statistical models of high-dimensional time-series data. It is designed with a particular focus on the analysis of atomistic simulations of biomolecular dynamics such as protein folding and conformational… read more here.
Keywords: msmbuilder statistical; time series; msmbuilder; statistical models ... See more keywords
Preferential deficit of fat-free soft tissue in the appendicular region of children with cerebral palsy and proposed statistical models to capture the deficit.
Sign Up to like & getrecommendations! Published in 2019 at "Clinical nutrition"
DOI: 10.1016/j.clnu.2019.06.020
Abstract: BACKGROUND Cerebral palsy (CP) is a neurological disorder characterized by a profound skeletal muscle deficit. However, whether there is a regional-specific skeletal muscle deficit in children with CP is unknown. The purpose of this study… read more here.
Keywords: deficit; statistical models; ffst; affst ... See more keywords
Evaluating statistical models to measure environmental change: A tidal turbine case study
Sign Up to like & getrecommendations! Published in 2018 at "Ecological Indicators"
DOI: 10.1016/j.ecolind.2017.09.041
Abstract: Abstract Statistical models are routinely used in Before-After monitoring studies to detect, quantify, and forecast environmental change caused by natural or anthropogenic disturbances. For monitoring programs that have not established standard statistical procedures, an evaluation… read more here.
Keywords: change; environmental change; tidal turbine; statistical models ... See more keywords
Does judgment improve macroeconomic density forecasts?
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Forecasting"
DOI: 10.1016/j.ijforecast.2021.02.007
Abstract: Abstract This paper presents empirical evidence on how judgmental adjustments affect the accuracy of macroeconomic density forecasts. Judgment is defined as the difference between professional forecasters’ densities and the forecast densities from statistical models. Using… read more here.
Keywords: density forecasts; statistical models; density; forecasts judgment ... See more keywords
Statistical Models of Tumour Onset and Growth for Modern Breast Cancer Screening Cohorts.
Sign Up to like & getrecommendations! Published in 2019 at "Mathematical biosciences"
DOI: 10.1016/j.mbs.2019.108270
Abstract: Historically, multi-state Markov models have been used to study breast cancer incidence and mammography screening effectiveness. In recent years, more biologically motivated continuous tumour growth models have emerged as alternatives. However, a number of challenges… read more here.
Keywords: statistical models; breast; breast cancer; tumour onset ... See more keywords
Statistical models of global Langmuir mixing
Sign Up to like & getrecommendations! Published in 2017 at "Ocean Modelling"
DOI: 10.1016/j.ocemod.2017.03.016
Abstract: Abstract The effects of Langmuir mixing on the surface ocean mixing may be parameterized by applying an enhancement factor which depends on wave, wind, and ocean state to the turbulent velocity scale in the K… read more here.
Keywords: langmuir mixing; prognostic wave; enhancement factor; statistical models ... See more keywords
OSL signal saturation and dose rate variability: Investigating the behaviour of different statistical models
Sign Up to like & getrecommendations! Published in 2018 at "Radiation Measurements"
DOI: 10.1016/j.radmeas.2018.05.005
Abstract: Abstract Statistical models derived from two inferences, Frequentist and Bayesian, are compared for OSL data analysis. Controlled laboratory experiments were designed to investigate: (1) dose recovery behaviour and (2) dose variability. (1) Dose recovery tests… read more here.
Keywords: dose recovery; variability; saturation; average dose ... See more keywords