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Grid multi-category response logistic models. [PDF]

open access: yesBMC Med Inform Decis Mak, 2015
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
europepmc   +3 more sources

Quantitative Models of Fungi Interaction--based on Logistic models [PDF]

open access: yesE3S Web of Conferences, 2021
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
doaj   +1 more source

Variable Selection for Spatial Logistic Autoregressive Models

open access: yesMathematics, 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
doaj   +1 more source

Group Logistic Regression Models with lp,q Regularization

open access: yesMathematics, 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
doaj   +1 more source

Height to Crown Base Modelling for the Main Tree Species in an Even-Aged Pedunculate Oak Forest: A Case Study from Central Croatia

open access: yesSouth-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
doaj   +1 more source

Analysis of influencing factors of prognosis of severe traumatic brain injury with severe multiple injuries under multi⁃disciplinary team

open access: yesChinese 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
doaj   +1 more source

Study on related risk factors of pain in de novo Parkinson's disease patients

open access: yesChinese 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
doaj   +1 more source

Machine Learning-based Classifiers for the Prediction of Low Birth Weight [PDF]

open access: yesHealthcare 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
doaj   +1 more source

Incidence of locally invasive prostate cancer in patients with intermediate values of prostate-specific antigen [PDF]

open access: yesVojnosanitetski 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
doaj   +1 more source

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