Health

G Vector status of Aedes species determines geographical risk of autochthonous Zika virus establishment

G Vector status of Aedes species determines geographical risk of autochthonous Zika virus establishment Read More »

Tak Simulated Models Suggest That Price per Calorie Is the Dominant Price Metric That Low-Income Individuals Use for Food Decision Making

Tak Simulated Models Suggest That Price per Calorie Is the Dominant Price Metric That Low-Income Individuals Use for Food Decision Making Read More »

G Risk of global spread of Middle East respiratory syndrome coronavirus (MERS-CoV) via the air transport network

G Risk of global spread of Middle East respiratory syndrome coronavirus (MERS-CoV) via the air transport network Read More »

G Quantified degree of poultry exposure differs for human cases of avian influenza H5N1 and H7N9

G Quantified degree of poultry exposure differs for human cases of avian influenza H5N1 and H7N9 Read More »

G Organ-to-Cell-Scale Health Assessment Using Geographical Information System Approaches with Multibeam Scanning Electron Microscopy

G Organ-to-Cell-Scale Health Assessment Using Geographical Information System Approaches with Multibeam Scanning Electron Microscopy Read More »

A set of female individuals with the above criteria were considered. Further demographic and diet considerations (in order to select similar patients) led to selecting 11 different individuals’ one day of intake as the initial dataset for the model. In another setting, we only considered people that have consumed a reasonable amount of sodium and water. We consider these two nutrients as the main constraints in the DASH diet. 



In order to compare different potential data and their performance with the model, we used different data groups from the NHANES database. A group of middle-aged women with certain similar characteristics and a group of people with certain attributes in their diets. In the first group, we did not consider how the individual’s daily diet is reflecting on the constraints that the forward problem had and we relied on their own personal answer to questions regarding hypertension and also how prone they thought they were to type-2 diabetes. The result was a sparse set of variables and an inconclusive optimal solution in regards to the preferences. In the second group, we tried to obtain sub-optimal data. We prioritized the maximum sodium intake constraint and the water intake constraints as our main and most important constraints.