Application of Machine Learning Techniques to High-Dimensional Clinical Data to Forecast Postoperative Complications. [PDF]
PLoS ONE, 2016 OBJECTIVE:To compare performance of risk prediction models for forecasting postoperative sepsis and acute kidney injury. DESIGN:Retrospective single center cohort study of adult surgical patients admitted between 2000 and 2010.
Paul Thottakkara +6 more
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Land-Subsidence Spatial Modeling Using Generalized Additive Model Data Mining Technique [PDF]
پژوهشهای آبخیزداری, 2017 Land-subsidence phenomenon is one of the geomorphologic hazards known in arid and semi-arid areas in recent years. The main objective of the present study is to provide a land-subsidence spatial modeling and its assessment using the generalized additive ...
Hamid Reza Pourghasemi +1 more
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Mapping spatial patterns of plant species based on machine-learning and regression models [PDF]
Desert, 2022 Various statistical techniques have been used for species distribution modeling that attempt to predict the occurrence of a given species with respect to environmental conditions.
H. Keshtkar, P. Pourmohammad
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Distribution Modeling of Protective and Valuable Plant Species in the Tourist Area of Polour Using Generalized Linear Model (GLM) and Generalized Additive Model(GAM) [PDF]
جغرافیا و توسعه, 2017 The prediction models of geographical distribution of the plant species are probabilistic and static models. They determinate the mathematical equations governing on geographical distribution of species with their current environment and environmental ...
Zeinab Jafarian, Mansoureh Kargar
doaj +1 more source
Revista de Saúde Pública, 2014 OBJECTIVE To analyze the association between concentrations of air pollutants and admissions for respiratory causes in children. METHODS Ecological time series study.
Juliana Bottoni de Souza +3 more
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Generalized Additive Models with Unknown Link Function Including Variable Selection [PDF]
, 2013 The generalized additive model is a well established and strong tool that allows to model smooth effects of predictors on the response. However, if the link function, which is typically chosen as the canonical link, is misspecified, substantial bias is ...
Gerhard Tutz +3 more
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Journal of Dairy Science, 2022 : Reduction of milk yield is one of the principal components in the cost of mastitis. However, past research into the association between milk yield and mastitis indicators is limited.
John Bonestroo +5 more
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Nonparametric estimation of an additive quantile regression model [PDF]
, 2004 This paper is concerned with estimating the additive components of a nonparametric additive quantile regression model. We develop an estimator that is asymptotically normally distributed with a rate of convergence in probability of n^{-r/(2+10)} when ...
Joel L. Horowitz +5 more
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Using flexible regression models for calculating hospital’s production functions
BMC Health Services Research, 2020 Background The relative lack of flexibility of parametric models has led to the development of nonparametric regression techniques based on the family of generalized additive models. However, despite the potential advantages of using Generalized Additive
Francisco Reyes-Santías +2 more
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Just Another Gibbs Additive Modeler: Interfacing JAGS and mgcv
Journal of Statistical Software, 2016 The BUGS language offers a very flexible way of specifying complex statistical models for the purposes of Gibbs sampling, while its JAGS variant offers very convenient R integration via the rjags package.
Simon N. Wood
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