Results 61 to 70 of about 56,744 (172)

Analysis of dental caries using generalized linear and count regression models [PDF]

Revista Română de Statistică, 2013
Generalized linear models (GLM) are generalization of linear regression models, which allow fitting regression models to response data in all the sciences especially medical and dental sciences that follow a general exponential family. These are flexible
Javali M. Phil, Parameshwar V. Pandit
doaj  

Comparing fNIRS signal qualities between approaches with and without short channels.

PLoS ONE, 2020
Functional near-infrared spectroscopy (fNIRS) is a non-invasive technique used to measure changes in oxygenated (HbO) and deoxygenated (HbR) hemoglobin, related to neuronal activity.
Xin Zhou, Gabriel Sobczak, Colette M McKay, Ruth Y Litovsky   +3 more
doaj   +1 more source

COLA-GLM: collaborative one-shot and lossless algorithms of generalized linear models for decentralized observational healthcare data

npj Digital Medicine
Clinical insights from real-world data often require aggregating information from institutions to ensure sufficient sample sizes and generalizability. However, patient privacy concerns only limit the sharing of patient-level data, and traditional federated learning algorithms, relying on extensive back-and-forth communications, can be inefficient to ...
Wu, Qiong, Reps, Jenna M., Li, Lu, Zhang, Bingyu, Lu, Yiwen, Tong, Jiayi, Zhang, Dazheng, Lumley, Thomas, Brand, Milou T., Van Zandt, Mui, Falconer, Thomas, He, Xing, Huang, Yu, Li, Haoyang, Yan, Chao, Tang, Guojun, Williams, Andrew E., Wang, Fei, Bian, Jiang, Malin, Bradley, Hripcsak, George, Schuemie, Martijn J., Lu, Yun, Drew, Steve, Zhou, Jiayu, Asch, David A., Chen, Yong   +26 more
openaire   +2 more sources

Reciprocal Benefits of Mass-Univariate and Multivariate Modeling in Brain Mapping: Applications to Event-Related Functional MRI, H215O-, and FDG-PET

International Journal of Biomedical Imaging, 2006
In brain mapping studies of sensory, cognitive, and motor operations, specific waveforms of dynamic neural activity are predicted based on theoretical models of human information processing. For example in event-related functional MRI (fMRI), the general
James R. Moeller, Christian G. Habeck
doaj   +1 more source

Genome‐wide association study and BSR‐seq identify nitrate reductase–related genes in rice landraces (Oryza sativa L.)

The Plant Genome
Nitrogen (N) is an essential nutrient for rice (Oryza sativa L.) growth and development. However, the lower nitrogen use efficiency (NUE) results in an N fertilizer surplus, which causes many environmental problems. In this study, genome‐wide association
Shuangshuang Luo, Zuyu Liao, Shilv Huang, Xiuzhong Xia, Zongqiong Zhang, Baoxuan Nong, Tongping Luo, Chenli Zhu, Can Chen, Hui Guo, Rui Feng, Yinghua Pan, Shuhui Liang, Yongcheng Li, Jianhui Liu, Yongfu Qiu, Danting Li, Xinghai Yang   +17 more
doaj   +1 more source

Decoding Mental States in Social Cognition: Insights from Explainable Artificial Intelligence on HCP fMRI Data

Machine Learning and Knowledge Extraction
Artificial neural networks (ANNs) have been used for classification tasks involving functional magnetic resonance imaging (fMRI), though typically focusing only on fractions of the brain in the analysis. Recent work combined shallow neural networks (SNNs)
José Diogo Marques dos Santos, Luís Paulo Reis, José Paulo Marques dos Santos   +2 more
doaj   +1 more source

Determination of Pure Health Insurance Premiums Using Generalized Linear Models (GLM) with Poisson Distribution

International Journal of Global Operations Research
Insurance companies need a method to help companies determine premium prices that are appropriate to the risks they face. In other words, it is also necessary to know the variables that influence premium prices using Generalized Linear Models (GLM) by generalizing the linear regression model to model the relationship between the dependent variable and ...
Devani Oktaviani, Nabila Zahra, Nurfadhlina Abdul Halim   +2 more
openaire   +1 more source

Exploring citizen participation in fiscal control: insights from Manizales, Colombia

European Journal of Government and Economics
The objective of this study is to identify the fundamental determinants of citizen participation within the framework of the "Let's Take Control" initiative, implemented by the General Comptroller's Office of Manizales Municipality during 2020-2021 ...
Carlos David Cardona-Arenas, Johary Andrea Campuzano   +1 more
doaj   +1 more source

Two-step paretial least square regression classifiers in brain-state decoding using functional magnetic resonance imaging.

PLoS ONE, 2019
Multivariate analysis methods have been widely applied to decode brain states from functional magnetic resonance imaging (fMRI) data. Among various multivariate analysis methods, partial least squares regression (PLSR) is often used to select relevant ...
Zhiying Long, Yubao Wang, Xuanping Liu, Li Yao   +3 more
doaj   +1 more source

How do Generalized Linear Models (glms) Explain the Variation in Species Richness in Freshwater Ecosystems?

Revista de Gestão Social e Ambiental
Objective: Assessing, through ecological modeling, which environmental variables explain the species richness of fish in streams in southern Maranhão.   Theoretical framework: Ecological modeling techniques that correlate species abundance or richness as response variables with environmental predictors are used to predict the probability of species ...
Thamires Barroso Lima, Nivaldo Magalhães Piorski, Jamerson Aguiar Santos, Nayana Estrela Ferreira Marques, Carmen Hellen da Silva Rocha, Maria José de Holanda Leite   +5 more
openaire   +1 more source