Interactions between packaging systems and logistic processes need to be looked into thoroughly for the helpful packaging solution that is workable in the food supply chain.
Geographical information systems and logistic regression analysis were used to study the distribution of infected human cases and their proximity to water bodies, vegetation abundance, agricultural fields and housing density classified as high/low density urban constructions.
Scoring systems and logistic regression model required the largest set of predictors, while Bayesian and kNN models were much more parsimonious, requiring less than ten features.
This study aimed to predict the 6-year incidence of metabolic syndrome (MetS) using an artificial neural network (ANN) system and multiple logistic regression (MLR) analysis based on clinical factors, including the insulin resistance index calculated by homeostasis model assessment (HOMA-IR).
To assess the difference in accuracy between the integer point system and the logistic regression model we calculated the misclassification rate, AUC, and weighted κ based on differences in classification for each model.
Especially the production systems and the logistic ones can serve as transparent illustrations of such a "model nesting", presenting the obstacles related to it and the surmounting of them.
Scoring systems and the logistic regression model required the largest set of predictors, while Bayesian and k-nearest neighbour models were much more parsimonious.
The LODS lies somewhere between a mortality prediction score and an organ failure score as it combines a global score summarizing the total degree of organ dysfunction across the organ systems, and a logistic regression equation that can be used to convert the score into a probability of mortality.
This research examines the linkages between the social and spatial contexts of indigenous cultivators and agricultural change through the integration of geographic information systems, remote sensing, and logistic multiple regression.
If the study shows positive results, the long-term aim is to empower local health systems with training and logistic support to sustain an EDI program that can reduce morbidity for children in L/LMIC with high rates of birth asphyxia as well as stimulate further research and implementation of comparable programs worldwide.
