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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…
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Keywords:
machine learning;
heart;
conventional statistical;
heart failure ... See more keywords
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Published in 2024 at "Environmetrics"
DOI: 10.1002/env.70009
Abstract: In this article, we study the problem of forecasting the next year's number of Atlantic hurricanes, which is relevant in many fields of applications such as land‐use planning, hazard mitigation, reinsurance and long‐term weather derivative…
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Keywords:
simple yet;
statistical models;
comparative study;
effective comparative ... See more keywords
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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…
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Keywords:
climate model;
tropical atlantic;
atlantic sea;
statistical models ... See more keywords
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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…
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Keywords:
sciatic notch;
greater sciatic;
accuracy;
statistical models ... See more keywords
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Published in 2025 at "International Journal of Legal Medicine"
DOI: 10.1007/s00414-025-03417-1
Abstract: Analysis of humeral measurements from a contemporary French sample. Comparison of predictive accuracy of seven statistical models. Classification accuracy was greater than 90% for all models without selection methods. Methods of variables selection was improved…
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Keywords:
statistical models;
analysis;
machine;
french sample ... See more keywords
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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…
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Keywords:
force components;
force;
finite element;
statistical models ... See more keywords
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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…
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Keywords:
msmbuilder statistical;
time series;
msmbuilder;
statistical models ... See more keywords
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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…
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Keywords:
deficit;
statistical models;
ffst;
affst ... See more keywords
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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…
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Keywords:
change;
environmental change;
tidal turbine;
statistical models ... See more keywords
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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…
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Keywords:
density forecasts;
statistical models;
density;
forecasts judgment ... See more keywords
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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…
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Keywords:
statistical models;
breast;
breast cancer;
tumour onset ... See more keywords