Comparison of Machine Learning Methods With Traditional Models for Use of Administrative Claims With Electronic Medical Records to Predict Heart Failure Outcomes.
Sign Up to like & getrecommendations! Published in 2020 at "JAMA network open"
DOI: 10.1001/jamanetworkopen.2019.18962
Abstract: Importance Accurate risk stratification of patients with heart failure (HF) is critical to deploy targeted interventions aimed at improving patients' quality of life and outcomes. Objectives To compare machine learning approaches with traditional logistic regression… read more here.
Keywords: home; logistic regression; machine learning; regression ... See more keywords
Progression and Regression of Chronic Kidney Disease by Age Among Adults in a Population-Based Cohort in Alberta, Canada
Sign Up to like & getrecommendations! Published in 2021 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2021.12828
Abstract: Key Points Question How likely is regression of mild to severe chronic kidney disease (CKD) in adults? Findings In this population-based cohort study of adults with incident CKD, the 5-year probability of regression was similar… read more here.
Keywords: regression; chronic kidney; ckd; progression ... See more keywords
Association of Albuminuria and Regression of Chronic Kidney Disease in Adults With Newly Diagnosed Moderate to Severe Chronic Kidney Disease
Sign Up to like & getrecommendations! Published in 2022 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2022.25821
Abstract: Key Points Question What is the association of albuminuria with chronic kidney disease (CKD) regression? Findings In this cohort study of 58 004 adults with newly diagnosed moderate to severe CKD (eGFR, 15-44 mL/min/1.73 m2), albuminuria… read more here.
Keywords: association albuminuria; chronic kidney; regression; kidney disease ... See more keywords
Large biogenic contribution to boundary layer O3-CO regression slope in summer
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DOI: 10.1002/2017gl074405
Abstract: Strong correlation between O3 and CO was observed during the Deriving Information on Surface Conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) aircraft experiment in July 2011 over the Washington-Baltimore area.… read more here.
Keywords: model; regression slope; boundary layer; regression ... See more keywords
Revealing Complex Ecological Dynamics via Symbolic Regression
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DOI: 10.1002/bies.201900069
Abstract: Understanding the dynamics of complex ecosystems is a necessary step to maintain and control them. Yet, reverse‐engineering ecological dynamics remains challenging largely due to the very broad class of dynamics that ecosystems may take. Here,… read more here.
Keywords: symbolic regression; complex ecological; dynamics via; regression ... See more keywords
Variable importance: Comparison of selectivity ratio and significance multivariate correlation for interpretation of latent‐variable regression models
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Chemometrics"
DOI: 10.1002/cem.3211
Abstract: This work examines the performance of significance multivariate correlation (sMC) and selectivity ratio (SR) for ranking variables according to their importance in latent‐variable regressions (LVRs) models. Both indices are based on target projection (TP) of… read more here.
Keywords: vector; importance; regression; significance multivariate ... See more keywords
Comparative study between Partial Least Squares and Rational function Ridge Regression models for the prediction of moisture content of woodchip samples using a handheld spectrophotometer
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DOI: 10.1002/cem.3337
Abstract: The use of woodchip for energy use is expected to increase in the next years because of the European targets for mitigating climate change and reducing greenhouse gas emissions. The technical standard EN ISO 17225‐4… read more here.
Keywords: moisture; regression; woodchip; moisture content ... See more keywords
Association of circulating soluble growth differentiation factor 15 with serum total testosterone in men with type 2 diabetes mellitus.
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DOI: 10.1002/dmrr.3564
Abstract: AIMS Epidemiological studies consistently show that decreases in serum testosterone level are observed more frequently in men with type 2 diabetes mellitus (T2DM), while clinical investigations have demonstrated that an increased level of circulating growth… read more here.
Keywords: regression; diabetes mellitus; gdf; type diabetes ... See more keywords
Spatiotemporal modeling of hydrological return levels: A quantile regression approach
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DOI: 10.1002/env.2522
Abstract: Extreme river flows can lead to inundation of floodplains, with consequent impacts for society, the environment, and the economy. Extreme flows are inherently difficult to model, being infrequent, irregularly spaced, and affected by nonstationary climatic… read more here.
Keywords: quantile regression; regression; model; spatiotemporal modeling ... See more keywords
Regression tree model for prediction of demand with heterogeneity and censorship
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DOI: 10.1002/for.2643
Abstract: In this research we analyze a new approach for prediction of demand. In the studied market of performing arts the observed demand is limited by capacity of the house. Then one needs to account for… read more here.
Keywords: censorship; regression; heterogeneity; prediction demand ... See more keywords
Sparse prediction informed by genetic annotations using the logit normal prior for Bayesian regression tree ensembles
Sign Up to like & getrecommendations! Published in 2022 at "Genetic Epidemiology"
DOI: 10.1002/gepi.22505
Abstract: Using high‐dimensional genetic variants such as single nucleotide polymorphisms (SNP) to predict complex diseases and traits has important applications in basic research and other clinical settings. For example, predicting gene expression is a necessary first… read more here.
Keywords: sparse prediction; informed genetic; regression; prediction informed ... See more keywords