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Predicting unfavorable tuberculosis outcomes using machine learning: a prospective cohort. [PDF]

Trop Med Health
Lee T, Choi I, Lee H, Kim HW, Lee EG, Park Y, Jung SS, Kim JW, Oh JY, Lee H, Kim SH, Kim SH, Lyu J, Kwon SJ, Jeong YJ, Koo HK, Kim JS, Min J.   +17 more
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A method of modeling logistic

2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009), 2009
Based on the grey system direct modeling method, we put forward a method of modeling Logistic under the criterion on minimized the sum of the squares of the modified relative error (SSMRE). Then applied it in the U.S.A population forecasting, with results showing that this method can remarkably reduce mean absolute percentage error (MAPE) and the built
Yinao Wang, Lifeng Wu, Fengjing Cai
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Modeling Green Logistics

2009 Third Asia International Conference on Modelling & Simulation, 2009
This paper propose an innovative simulation model based on web technologies devoted to analyze environmental impact of the whole supply chain. The authors developed a whole framework for collecting data from different users including good producers, logistics operators and retailers by a web questionnaire; this service is automatically integrated with ...
BRUZZONE, AGOSTINO, TREMORI, ALBERTO, MASSEI, MARINA, Tarone F.   +3 more
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Model of reverse logistics by means of a logistics operator

International Journal of Business Performance and Supply Chain Modelling, 2014
This study describes a reverse logistics model that can be used for the disposal of waste electrical and electronic equipment (WEEE) from small businesses, which includes its collection, dismantling, sorting, storage and destination by a logistics operator.
Fabrício Molica de Mendonça, Carlos Eduardo Durange De Carvalho Infante, Rogerio De Aragão Bastos Do Valle, Eduardo Correia Miguez   +3 more
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MODELLING LOGISTIC SYSTEMS WITH EXSPECT

1991
A framework for the modelling and specification of concurrent systems is introduced. This framework is closely related to Coloured Petri Nets. Within this framework a tool has been developed together with a language called ExSpect. One of the applications of this language is the description and simulation of logistic processes.
Wil M. P. van der Aalst, A. W. Waltmans
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The influence of variables in a logistic model

Biometrika, 1991
SUMMARY The influence of explanatory variables in a logistic model is considered when the goal is to determine the predictive probability of a future observation in a Bayesian approach. We consider whether the predictive distribution will change greatly when subsets of the explanatory variables are omitted from the data set or from the future ...
Bhattacharjee, S. K., Dunsmore, I. R.
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A robust logistic discrimination model

Statistics and Computing, 1997
Logistic discrimination is a well documented method for classifying observations to two or more groups. However, estimation of the discriminant rule can be seriously affected by outliers. To overcome this, Cox and Ferry produced a robust logistic discrimination technique.
Trevor F. Cox, Kim F. Pearce
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A program for logistic prediction modelling

Computer Programs in Biomedicine, 1985
A computer program has been developed that can be used for analysing a binary outcome variable and a set of regressors of type interval with a logistic (i.e. nonlinear) model.
B, Dahlqvist, E, Bengtsson, O, Eriksson, T, Jarkrans, B, Nordin, B, Stenkvist   +5 more
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