Results 31 to 40 of about 110,679 (151)

Unraveling the Predictive Value of the Novel Global Immune-Nutrition-Inflammation Index (GINI) on Survival Outcomes in Patients with Grade 4 Adult-Type Diffuse Gliomas

open access: yesCurrent Oncology
Background: This investigation evaluated the predictive and prognostic efficacy of the newly developed global immune-nutrition-inflammation index (GINI) in patients with grade 4 adult-type diffuse gliomas, comparing it with other established indices such
Asim Armagan Aydin, Ramazan Oguz Yuceer
doaj   +1 more source

Global Immune-Nutrition-Inflammation Index as a novel comprehensive biomarker in predicting the radiation-induced trismus rates in locally advanced nasopharyngeal carcinoma patients

open access: yesBiomolecules & Biomedicine
In this study, we aimed to evaluate whether the novel pretreatment Global Immune-Nutrition-Inflammation Index (GINI) can predict radiation-induced trismus (RIT) in locally advanced nasopharyngeal carcinoma (LA-NPC) patients undergoing concurrent ...
Efsun Somay   +7 more
doaj   +1 more source

Application of the Gini Index on the Evaluation of the Environmental Heterogeneity and Habitat Suitability Index for Larval Gobies

open access: yesJournal of Marine Science and Engineering, 2023
Spatial environmental heterogeneity in the Yangtze River Estuary (YRE) is always mentioned but rarely quantified and included in the evaluation process. This study introduced the habitat suitability index evaluation model based on the Gini index (HSIgini)
Lu Zhai   +5 more
doaj   +1 more source

An Estimation of Gini Coefficient in Iran [PDF]

open access: yesفصلنامه پژوهش‌های اقتصادی ایران, 2008
The Gini coefficient is a popular and a widely used index for measuring inequality. But it does not express explicitly a parameter or a value judgment to reflect the opinion of authorities or researches.
Mohsen Jalali
doaj  

Decision Tree Algorithm Considering Distances Between Classes

open access: yesIEEE Access, 2022
Decision tree algorithm (DT) is a commonly used data mining method for classification and regression. DT repeatedly divides a dataset into pure subsets based on impurity measurements such as entropy and Gini.
Sangyong Lee   +3 more
doaj   +1 more source

Socio-economic development, income inequality and redistribution [PDF]

open access: yes, 2017
Tackling the issue of income equity through redistribution consists of a discussion about the extent and forms of redistribution. The study responds to the issue of income redistribution defined within the neoclassical welfare economy by addressing the ...
Halásková, Renáta   +1 more
core   +1 more source

Mortality rate for cervical cancer in Brazil and socioeconomic indicators: a spatial study

open access: yesActa Scientiarum. Health Sciences, 2019
The objective of the study was to analyze the correlation between the mortality rate from cervical cancer with schooling, Gini index and Human Development Index (HDI).
Héllyda de Souza Bezerra   +3 more
doaj   +1 more source

How Will the Improvements of Electricity Supply Quality in Poor Regions Reduce the Regional Economic Gaps? A Case Study of China

open access: yesEnergies, 2021
Electricity supply quality (ESQ) is critical for healthy economic production, and regional differences in ESQ can widen economic development gaps. To contribute to a more equitable regional development, this study first develops a Gini index of ESQ ...
Boyan Zhang, Mingming Wang
doaj   +1 more source

Spatial modeling of dengue and socio-environmental indicators in the city of Rio de Janeiro, Brazil Modelagem espacial da dengue e variáveis socioambientais no Município do Rio de Janeiro, Brasil

open access: yesCadernos de Saúde Pública, 2011
This study analyzed the spatial distribution of dengue in Rio de Janeiro, Brazil, in 2006, and associations between the incidence per 100,000 inhabitants and socio-environmental variables.
Tatiana Rodrigues de Araujo Teixeira   +1 more
doaj   +1 more source

Fitting a Gaussian Mixture Model Through the Gini Index

open access: yesInternational Journal of Applied Mathematics and Computer Science, 2021
A linear combination of Gaussian components is known as a Gaussian mixture model. It is widely used in data mining and pattern recognition. In this paper, we propose a method to estimate the parameters of the density function given by a Gaussian mixture ...
López-Lobato Adriana Laura   +1 more
doaj   +1 more source

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