Results 11 to 20 of about 1,332,847 (317)
Variable Selection for Spatial Logistic Autoregressive Models
Mathematics, 2022 When the spatial response variables are discrete, the spatial logistic autoregressive model adds an additional network structure to the ordinary logistic regression model to improve the classification accuracy. With the emergence of high-dimensional data
Jiaxuan Liang +4 more
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Group Logistic Regression Models with lp,q Regularization
Mathematics, 2022 In this paper, we proposed a logistic regression model with lp,q regularization that could give a group sparse solution. The model could be applied to variable-selection problems with sparse group structures. In the context of big data, the solutions for
Yanfang Zhang, Chuanhua Wei, Xiaolin Liu
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Machine Learning, 2003 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Landwehr, Niels, Hall, Mark, Frank, Eibe
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South-East European Forestry, 2021 The height to crown base (hcb) is a critical measure used in many investigations as an input variable to investigate the vigour of the stands, the social position of the trees, and to evaluate the behaviour of forest fires, among other uses.
Saray Martín-García +5 more
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Chinese Journal of Contemporary Neurology and Neurosurgery, 2023 Objective To explore and analyze the influencing factors of multi⁃disciplinary team (MDT) model in treatment of severe traumatic brain injury (sTBI) with severe multiple injuries, and to summarize the diagnosis and treatment experience. Methods Total 144
YANG Zhen⁃yu, XU Xue⁃you
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Study on related risk factors of pain in de novo Parkinson's disease patients
Chinese Journal of Contemporary Neurology and Neurosurgery, 2022 Objective To explore the risk factors of pain in de novo Parkinson's disease (PD) patients. Methods A total of 129 de novo PD patients collected from The Affiliated Brain Hospital of Nanjing Medical University from October 2018 to September 2021 were ...
GUO Zhi⁃ying +5 more
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Machine Learning-based Classifiers for the Prediction of Low Birth Weight [PDF]
Healthcare Informatics Research, 2023 Objectives Low birth weight (LBW) is a global concern associated with fetal and neonatal mortality as well as adverse consequences such as intellectual disability, impaired cognitive development, and chronic diseases in adulthood.
Mahya Arayeshgari +4 more
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Incidence of locally invasive prostate cancer in patients with intermediate values of prostate-specific antigen [PDF]
Vojnosanitetski Pregled, 2007 Background/Aim. Feasibility of radical prostatectomy (RP) in patients with locally invasive prostate cancer (PC) is assessed by the standard parameters such as the stage of the disease, serum prostate-specific antigen (PSA) and bioptic Gleason grade (GG).
Cerović Snežana +4 more
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Chinese Journal of Contemporary Neurology and Neurosurgery, 2021 Objective To investigate the clinical features and risk factors of nervous system involvement in Behcet's disease (BD). Methods A total of 74 BD patients who were admitted to Peking University People's Hospital from January 2013 to January 2019 were ...
MAO Yu⁃jing, LIU Tian
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Logistic Curve Models of CO2 Accumulation
Findings, 2020 This article explores the use of logistic-shaped diffusion curves (S-Curves) to predict the accumulation of atmospheric CO2. The research question here is whether forecasts using logistic curves are stable, that is, do they predict consistently over ...
David Levinson
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