Results 1 to 10 of about 23,119,930 (306)

Grid multi-category response logistic models. [PDF]

BMC 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, Jiang X, Wang S, Jiang W, Li P, Ohno-Machado L.   +5 more
europepmc   +4 more sources

Stochastic logistic models reproduce experimental time series of microbial communities. [PDF]

Elife, 2020
We analyze properties of experimental microbial time series, from plankton and the human microbiome, and investigate whether stochastic generalized Lotka-Volterra models could reproduce those properties.
Descheemaeker L, de Buyl S.
europepmc   +4 more sources

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

E3S 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

A comparative study and application of modified SIR and Logistic models at Municipal Corporation level database of CoViD-19 in India [PDF]

, 2020
Bajaj NS, Pardeshi SS, Patange AD, Khade HS, Mate KK.   +4 more
europepmc   +2 more sources

From Logistic Regression to Foundation Models: Factors Associated With Improved Forecasts. [PDF]

Cureus
Alabi A, Akinpeloye O, Izinyon O, Amusa T, Famotire A.   +4 more
europepmc   +3 more sources

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, Yi Cheng, Yuqi Su, Shuyue Xiao, Yunquan Song   +4 more
doaj   +1 more source

Group Logistic Regression Models with l_p,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
doaj   +1 more source

Influencing analysis of hearing preservation after retrosigmoid approach surgery for vestibular schwannoma

Chinese Journal of Contemporary Neurology and Neurosurgery, 2022
Objective To investigate the influencing factors of hearing preservation after retrosigmoid approach surgery for vestibular schwannoma. Methods A total of 317 patients with vestibular schwannoma treated by retrosigmoid approach surgery in Beijing Tiantan
WANG Bo, YAN Min⁃jun, BI Zhi⁃yong, YANG Zhi⁃jun, WANG Xing⁃chao, LIU Pi⁃nan   +5 more
doaj   +1 more source

Analysis of influencing factors of delayed facial paralysis after retrosigmoid approach surgery for vestibular schwannoma

Chinese Journal of Contemporary Neurology and Neurosurgery, 2022
Objective To summarize the characteristics of delayed facial paralysis (DFP) after retrosigmoid approach surgery for vestibular schwannoma and screen its related influencing factors.
ZHU Xu⁃qiang, JIAO He⁃nan, LI Xue⁃yuan, WU Li⁃xin, MA Si⁃qi, YAN Dong⁃ming   +5 more
doaj   +1 more source

Exploration of Alternative Approaches to Phenotyping of Late Leaf Spot and Groundnut Rosette Virus Disease for Groundnut Breeding

Frontiers in Plant Science, 2022
Late leaf spot (LLS), caused by Nothopassalora personata (Berk. & M.A Curt.), and groundnut rosette disease (GRD), [caused by groundnut rosette virus (GRV)], represent the most important biotic constraints to groundnut production in Uganda ...
Ivan Chapu, David Kalule Okello, Robert C. Ongom Okello, Thomas Lapaka Odong, Sayantan Sarkar, Maria Balota   +5 more
doaj   +1 more source