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Grid multi-category response logistic models. [PDF]
BackgroundMulti-category response models are very important complements to binary logistic models in medical decision-making. Decomposing model construction by aggregating computation developed at different sites is necessary when data cannot be moved ...
Wu Y +5 more
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Stochastic logistic models reproduce experimental time series of microbial communities. [PDF]
Descheemaeker L, de Buyl S.
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Quantitative Models of Fungi Interaction--based on Logistic models [PDF]
As the key medium for decomposing wood fibers, fungi play a vital role in promoting the carbon cycle. The purpose of this paper is to establish mathematic models describing the process of fungi decomposing litter and wood fiber. The paper comprehensively
Zhang Yunfei
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Variable Selection for Spatial Logistic Autoregressive Models
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
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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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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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
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]
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]
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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