Comparison Of Classification Success Of Human Development Index By Using Ordered Logistic Regression Analysis And Artificial Neural Network Methods

Yakut, Emre; Gündüz, Murat; Demirci, Ayhan

doi:10.20491/isader.2015415532

Cited by 2 publications

(3 citation statements)

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“…The categories of Y are measured as sequential intervals-also referred to as the "threshold parameter"-on a continuous plane (Kaplan and Prato 2012;Yakut et al 2015). For α M − 1 < Y* < α M and in any case between α = -∞ and α = +∞, Y* is expressed as (Yakut et al 2015…”

Section: Discussionmentioning

confidence: 99%

“…An OLR is assumed to be based on the existence of a contentious and unobserved random Y * latent variable under the categorical dependent variable Y (Yakut et al 2015). The categories of Y are measured as sequential intervals—also referred to as the “threshold parameter”—on a continuous plane (Kaplan and Prato 2012; Yakut et al 2015). For α M − 1 < Y * < α M and in any case between α = –∞ and α = +∞, Y * is expressed as (Yakut et al 2015)

Y_{ij}^{*} = \sum_{i = 1}^{i} β_{i} X_{i} + ε .

…”

Section: Methodsmentioning

confidence: 99%

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Factors Affecting the Perception of New Approach Methodologies (NAMs) in the Ecotoxicology Community

Mondou

Hickey

Rahman

et al. 2020

Integr Envir Assess & Manag

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Given current legislative mandates to assess the safety of thousands of chemicals and the slow pace at which conventional testing proceeds, there is a need to accelerate chemical risk assessment. Governments and businesses are increasingly interested in new approach methodologies (NAMs) that promise to reduce costs and delays. We explore 5 sociological factors within the ecotoxicology community that can influence the perception of NAMs: 1) professional profile (educational cohort, employer), 2) internal science communication within professional forums, 3) concern for “error cost,” 4) collaboration across stakeholders, and 5) fundamental beliefs regarding toxicology. We conducted an online survey (n = 171; 2018) asking participants about their experiences and perspectives at events of the Society of Environmental Toxicology and Chemistry (SETAC) to assess 1) how NAMs are discussed compared to conventional testing and 2) how respondents perceive their viability. We developed ordered logistic regression (OLR) models to understand the influence of exploratory variables (cohort, core views on toxicology, frequency of collaboration) on respondents' evaluation of the viability of different NAMs. Our results showed that 1) NAMs were more likely than conventional methods to be challenged in forum discussions, which may be fueled by concerns for error costs in regulatory decision making; 2) perceptions of the viability of NAMs tended to follow a “pattern of familiarity,” whereby respondents that were more knowledgeable about a test method tended to find it more viable; 3) respondents who agreed with the Paracelsus maxim had a greater likelihood of finding conventional testing viable; and 4) the more a respondent reported collaborating with industry on alternative testing strategies, the more likely she or he was to report that NAMs were less viable. These results suggest that there are professional and organizational barriers to greater acceptance of NAMs that can be addressed through a social learning process within the professional community. Integr Environ Assess Manag 2020;16:269–281. © 2020 SETAC

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Section: Discussionmentioning

confidence: 99%

Y_{ij}^{*} = \sum_{i = 1}^{i} β_{i} X_{i} + ε .

…”

Section: Methodsmentioning

confidence: 99%

Factors Affecting the Perception of New Approach Methodologies (NAMs) in the Ecotoxicology Community

Mondou

Hickey

Rahman

et al. 2020

Integr Envir Assess & Manag

View full text Add to dashboard Cite

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“…HDI determines the human development levels of societies through three main areas: health, education, and income. Yakut et al [4] using infant mortality rate, gross national product, high school enrollment rate, growth, foreign direct investment, energy consumption, energy production, inflation, exports, number of internet users, unemployment, imports, mobile phone subscribers, and health expenditures. They made a classification using ordered logistic regression analysis and artificial neural networks on the Human Development Index of 81 countries.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Human Development Index with Health Indicators Using Tree-Based Regression Models

Akin¹,

Koç²

2021

Adıyaman University Journal of Science

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Machine learning is a field of artificial intelligence that allows computers to predict and model future events by making inferences from past information with mathematical and statistical operations. In this study, we used tree-based regression models, one of the machine learning methods, to determine and predict the effect of health indicators of 191 countries on the human development index (HDI) between 2014 and 2018 years. When tree-based regression models were compared according to model performance criteria, it was found that the best model was the gradient boosting model with the highest R 2 = 0.9962 and the smallest RMSE = 0.0094. With the gradient boosting model, the three most important variables to HDI are; current health expenditure per capita, physicians and nurses, and midwives, respectively. By selecting the ten countries with the highest HDI values and Turkey, HDI values were estimated for 2018-2019 with a gradient boosting model. The countries for which HDI values are best predicted by the gradient boosting method are Netherlands,

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Comparison Of Classification Success Of Human Development Index By Using Ordered Logistic Regression Analysis And Artificial Neural Network Methods

Cited by 2 publications

References 0 publications

Factors Affecting the Perception of New Approach Methodologies (NAMs) in the Ecotoxicology Community

Factors Affecting the Perception of New Approach Methodologies (NAMs) in the Ecotoxicology Community

Prediction of Human Development Index with Health Indicators Using Tree-Based Regression Models

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