Healthy Food
Goal 2. Healthy Food, No Hunger and GHG mitigation - balance repo - Why Modern Food Lost its Nutrition
International FHIR Nutrition Product json - About FHIR Fast Healthcare Interoperability
Food Nutrition Labels (YAML locally)
Source: USDA API
In the "fdc" subfolder we have two yaml samples for each of the 5 food groups (protein, dairy, vegetable, fruit, grains)
Protein
CHICKEN THIGH
CHEDDAR CHEESE
Vegetable
TOFU
Lettuce, raw
Specific Food Profiles (JSON directly from FDA API)
Each food's nutrition data path is passed to our Feed-Player:
Fruits APPLE BANANA ORANGE STRAWBERRY GRAPES WATERMELON PINEAPPLE MANGO BLUEBERRY RASPBERRY PEACH CHERRY Pear, raw Plum, canned KIWI LEMON Lime souffle GRAPEFRUIT CANTALOUPE APRICOT BLACKBERRY POMEGRANATE PAPAYA Dragon fruit FIG
Vegetables SPINACH KALE Lettuce, raw Cabbage, kimchi ONION GARLIC Potato patty SWEET POTATO ZUCCHINI Eggplant dip PUMPKIN Spaghetti squash, cooked CAULIFLOWER BRUSSELS SPROUTS ASPARAGUS GREEN BEANS PEAS CORN MUSHROOM BEETROOT CHIPS, BEETROOT Radish, raw Turnip greens and turnips, frozen, unprepared Parsnips, cooked RUTABAGA
Proteins CHICKEN BREAST SALMON EGGS GREEK YOGURT TOFU LEAN BEEF TURKEY BREAST COTTAGE CHEESE SARDINES LENTILS QUINOA BLACK BEANS CHICKPEAS TUNA Peanut butter ALMONDS MILK WHEY PROTEIN PORK CHOPS Soy milk Tempeh SEITAN WHEAT PROTEIN CUBED, SEITAN
Carbohydrates OATS BROWN RICE QUINOA WHOLE GRAIN BREAD WHOLE GRAIN PASTA SWEET POTATO Potato patty Barley Buckwheat Millet WHOLE WHEAT COUSCOUS WHOLE WHEAT TORTILLAS WHOLE WHEAT BAGELS WILD RICE BULGUR FARRO POPCORN CORNMEAL COUSCOUS WHITE RICE WHITE BREAD Pasta, cooked BAGELS CEREAL CRACKERS
Data.world nutrition data for raw fruits, vegetables - from Rakesh
Food Health and Impacts
TO DO: Create 3D Force-Directed Graph mockup for the Uncovering the Nutritional Landscape of Food visualizations below (we will then contact researches to get data) - In the nutrient-nutrient network. Each node represents a nutrient, and nodes are connected through correlations between abundances of nutrients across all foods. The network is composed of three major groups of nutrients densely connected to one another through positive correlations.
The shape of each node indicates a hierarchical or ‘taxonomic’ level of a nutrient, from ‘ Highest ’ (a general class of nutrients) to ‘Lowest’ (a specific nutrient). Color and thickness of each link correspond to the sign and magnitude of the correlation, respectively. Seven nutrients are omitted which don’t have significant correlations with any others. We also omit amino acids, because their correlations with other nutrients are very similar to correlations of total protein with others, and thus redundant for visualization.
