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nutrition (food)
literal strings: nutrition , Nutrition , NUTRITION
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categories
visualizablething (98.6%)
food (97.2%)SEAL @869 (54.8%) on 03-sep-2014 [ 1 ] using nutrition MBL @1103 (93.8%) on 18-mar-2018 [ Promotion of agriculturalproduct:nutrition foodcancausedisease disease:blood_pressure ]
NELL has only weak evidence for items listed in grey agriculturalproduct SEAL @853 (52.2%) on 09-jul-2014 [ 1 ] using nutrition
relations
foodcancausedisease blood_pressure (disease) (96.9%)CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 can lead to high arg2" "arg1 lowers high arg2" "arg1 can reduce high arg2" "arg1 and controlling high arg2" "arg1 helps lower arg2" ] using (nutrition, blood_pressure)
fooddecreasestheriskofdisease cancer (disease) (99.2%)CPL @1104 (99.2%) on 18-mar-2018 [ "arg1 and prostate arg2" "arg1 and colon arg2" "arg1 and cervical arg2" "arg1 may help protect against lung arg2" "arg1 and prostrate arg2" "arg1 can prevent colon arg2" "arg1 may lower the risk of arg2" ] using (nutrition, cancer)
inverseofagriculturalproductincludingagriculturalproduct products (99.8%)CPL @1103 (99.8%) on 06-mar-2018 [ "arg2 products and dairy arg1" "arg2 found in milk arg1" "arg2 or dairy arg1" "arg2 and dairy arg1" "arg2 and milk arg1" "arg2 Milk and other dairy arg1" "arg2 labels on food arg1" "arg2 Milk and dairy arg1" "arg2 in place of animal arg1" ] using (products, nutrition)
NELL has only weak evidence for items listed in grey fooddecreasestheriskofdisease breast_cancer CPL @1100 (50.0%) on 31-jan-2018 [ "arg1 can lower your risk of arg2" ] using (nutrition, breast_cancer)
cancers CPL @1099 (50.0%) on 23-jan-2018 [ "arg1 and the risk of colorectal arg2" ] using (nutrition, cancers)
illness (disease)CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 help prevent arg2" ] using (nutrition, illness)
isoneoccurrenceof goats CPL @1109 (50.0%) on 12-jun-2018 [ "arg2 of sheep and arg1" ] using (goats, nutrition)
sheep CPL @1112 (50.0%) on 20-jul-2018 [ "arg2 of bighorn arg1" ] using (sheep, nutrition)
academicfieldusedinjobposition areas CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 of expertise include sports arg2" ] using (areas, nutrition)
nutritionist CPL @1103 (93.8%) on 06-mar-2018 [ "arg1 with expertise in sports arg2" "arg1 specializing in avian arg2" "arg1 who specialises in sports arg2" "arg1 who specializes in sports arg2" ] using (nutritionist, nutrition)
registered_dietitian CPL @1104 (96.9%) on 18-mar-2018 [ "arg1 and director of sports arg2" "arg1 with a focus on sports arg2" "arg1 specializing in sports arg2" "arg1 who specializes in sports arg2" "arg1 specializing in health and fitness arg2" ] using (registered_dietitian, nutrition)
veterinarian CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 specializing in feline arg2" ] using (veterinarian, nutrition)
animalpredators kids CPL @1113 (50.0%) on 03-aug-2018 [ "arg1 will love learning about arg2" ] using (kids, nutrition)
pets SEAL @189 (50.0%) on 15-jan-2011 [ 1 ] using (pets, nutrition)
animaltypehasanimal pet CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 and zoo arg2" ] using (pet, nutrition)
kids CPL @1114 (50.0%) on 18-aug-2018 [ "arg1 will love learning about arg2" ] using (kids, nutrition)
chemicaltypehaschemical carbon CPL @1099 (87.5%) on 23-jan-2018 [ "arg1 dioxide arg2" "arg1 dioxide and water into arg2" "arg1 dioxide and arg2" ] using (carbon, nutrition)
dioxide CPL @1108 (75.0%) on 07-jun-2018 [ "arg2 from carbon arg1" "arg2 and carbon arg1" ] using (dioxide, nutrition)
citycapitalofstate michigan CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 Department of Community Health in arg2" ] using (michigan, nutrition)
citymuseums american_academy CPL @1096 (50.0%) on 18-jan-2018 [ "arg1 of Dramatic Art in arg2" ] using (american_academy, nutrition)
citysportsteams equipmentusedbysport bodybuilding CPL @1109 (75.0%) on 12-jun-2018 [ "arg1 supplements and sports arg2" "arg1 supplements and bodybuilding arg2" ] using (bodybuilding, nutrition)
foodcancausedisease blood_pressure (academicfield)CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 can lead to high arg2" "arg1 lowers high arg2" "arg1 can reduce high arg2" "arg1 and controlling high arg2" "arg1 helps lower arg2" ] using (nutrition, blood_pressure)
blood_pressure (agriculturalproduct)CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 can lead to high arg2" "arg1 lowers high arg2" "arg1 can reduce high arg2" "arg1 and controlling high arg2" "arg1 helps lower arg2" ] using (nutrition, blood_pressure)
cholesterol (agriculturalproduct)CPL @1100 (75.0%) on 31-jan-2018 [ "arg1 can lead to high arg2" "arg1 supplements to lower arg2" ] using (nutrition, cholesterol)
cholesterol (artery)CPL @1100 (75.0%) on 31-jan-2018 [ "arg1 can lead to high arg2" "arg1 supplements to lower arg2" ] using (nutrition, cholesterol)
matter (artery)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 and vitamin D for arg2" ] using (nutrition, matter)
risk CPL @1095 (75.0%) on 17-jan-2018 [ "arg1 can help lower arg2" "arg1 can help lower your arg2" ] using (nutrition, risk)
kidneys (bodypart)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 may help to maintain healthy arg2" ] using (nutrition, kidneys)
cholesterol (celltype)CPL @1100 (75.0%) on 31-jan-2018 [ "arg1 can lead to high arg2" "arg1 supplements to lower arg2" ] using (nutrition, cholesterol)
genes (celltype)CPL @1113 (50.0%) on 03-aug-2018 [ "arg1 and exercise to control arg2" ] using (nutrition, genes)
genes (charactertrait)CPL @1113 (50.0%) on 03-aug-2018 [ "arg1 and exercise to control arg2" ] using (nutrition, genes)
matter (charactertrait)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 and vitamin D for arg2" ] using (nutrition, matter)
weight_gain (cheese)CPL @1113 (50.0%) on 03-aug-2018 [ "arg1 is the main culprit in arg2" ] using (nutrition, weight_gain)
blood_pressure (chemical)CPL @1094 (96.9%) on 01-jan-2018 [ "arg1 can lead to high arg2" "arg1 lowers high arg2" "arg1 can reduce high arg2" "arg1 and controlling high arg2" "arg1 helps lower arg2" ] using (nutrition, blood_pressure)
cholesterol (chemical)CPL @1100 (75.0%) on 31-jan-2018 [ "arg1 can lead to high arg2" "arg1 supplements to lower arg2" ] using (nutrition, cholesterol)
matter (chemical)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 and vitamin D for arg2" ] using (nutrition, matter)
kidneys (disease)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 may help to maintain healthy arg2" ] using (nutrition, kidneys)
risk_factors (disease)CPL @1097 (75.0%) on 19-jan-2018 [ "arg1 can help lower arg2" "arg1 and exercise to control arg2" ] using (nutrition, risk_factors)
genes (fungus)CPL @1113 (50.0%) on 03-aug-2018 [ "arg1 and exercise to control arg2" ] using (nutrition, genes)
genes (geopoliticallocation)CPL @1113 (50.0%) on 03-aug-2018 [ "arg1 and exercise to control arg2" ] using (nutrition, genes)
matter (mldataset)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 and vitamin D for arg2" ] using (nutrition, matter)
matter (physicsterm)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 and vitamin D for arg2" ] using (nutrition, matter)
cholesterol (physiologicalcondition)CPL @1100 (75.0%) on 31-jan-2018 [ "arg1 can lead to high arg2" "arg1 supplements to lower arg2" ] using (nutrition, cholesterol)
weight_gain (physiologicalcondition)CPL @1113 (50.0%) on 03-aug-2018 [ "arg1 is the main culprit in arg2" ] using (nutrition, weight_gain)
matter (planet)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 and vitamin D for arg2" ] using (nutrition, matter)
cholesterol (protein)CPL @1100 (75.0%) on 31-jan-2018 [ "arg1 can lead to high arg2" "arg1 supplements to lower arg2" ] using (nutrition, cholesterol)
genes (protein)CPL @1113 (50.0%) on 03-aug-2018 [ "arg1 and exercise to control arg2" ] using (nutrition, genes)
risk_factors (protein)CPL @1097 (75.0%) on 19-jan-2018 [ "arg1 can help lower arg2" "arg1 and exercise to control arg2" ] using (nutrition, risk_factors)
matter (vertebrate)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 and vitamin D for arg2" ] using (nutrition, matter)
matter (writer)CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 and vitamin D for arg2" ] using (nutrition, matter)
fooddecreasestheriskofdisease cancer_prevention CPL @1098 (75.0%) on 21-jan-2018 [ "arg1 and colon arg2" "arg1 and colorectal arg2" ] using (nutrition, cancer_prevention)
cleansing_program (academicfield)CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 and colon arg2" ] using (nutrition, cleansing_program)
illness (academicfield)CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 help prevent arg2" ] using (nutrition, illness)
vitamins (drug)CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 and prostate arg2" ] using (nutrition, vitamins)
vitamins (food)CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 and prostate arg2" ] using (nutrition, vitamins)
vitamins (fungus)CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 and prostate arg2" ] using (nutrition, vitamins)
cancer (medicalprocedure)CPL @1104 (99.2%) on 18-mar-2018 [ "arg1 and prostate arg2" "arg1 and colon arg2" "arg1 and cervical arg2" "arg1 may help protect against lung arg2" "arg1 and prostrate arg2" "arg1 can prevent colon arg2" "arg1 may lower the risk of arg2" ] using (nutrition, cancer)
cleansing_program (nondiseasecondition)CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 and colon arg2" ] using (nutrition, cleansing_program)
vitamins (nondiseasecondition)CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 and prostate arg2" ] using (nutrition, vitamins)
vitamins (personalcareitem)CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 and prostate arg2" ] using (nutrition, vitamins)
vitamins (visualizablething)CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 and prostate arg2" ] using (nutrition, vitamins)
inverseofacademicfieldsuchasacademicfield physiology CPL @1115 (50.0%) on 27-aug-2018 [ "arg2 and Applied arg1" ] using (physiology, nutrition)
science CPL @1095 (87.5%) on 17-jan-2018 [ "arg2 as well as Computer arg1" "arg2 and Computer arg1" "arg2 and Biomedical arg1" ] using (science, nutrition)
inverseofagriculturalproductcomingfromvertebrate dairy CPL @1099 (50.0%) on 23-jan-2018 [ "arg1 and beef arg2" ] using (dairy, nutrition)
inverseofagriculturalproductcontainchemical blueberries CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 are high in fiber and arg2" ] using (blueberries, nutrition)
dairy CPL @1108 (75.0%) on 07-jun-2018 [ "arg1 products as a source of arg2" "arg1 products that are high in arg2" ] using (dairy, nutrition)
tea SEAL @524 (50.0%) on 04-mar-2012 [ 1 ] using (tea, nutrition)
fresh_fruits CPL @1108 (75.0%) on 07-jun-2018 [ "arg1 and vegetables will provide arg2" "arg1 and vegetables have more arg2" ] using (fresh_fruits, nutrition)
inverseofagriculturalproducttoattractinsect plants CPL @1103 (75.0%) on 06-mar-2018 [ "arg2 from ornamental arg1" "arg2 is nectar from arg1" ] using (plants, nutrition)
inverseofanimaldevelopdisease animals CPL @1095 (75.0%) on 17-jan-2018 [ "arg2 of humans and domestic arg1" "arg2 of man and domestic arg1" ] using (animals, nutrition)
inverseofbeveragemadefrombeverage juice CPL @1113 (50.0%) on 03-aug-2018 [ "arg1 and real fruit arg2" ] using (juice, nutrition)
inverseofhobbiessuchashobbies activities CPL @1103 (50.0%) on 06-mar-2018 [ "arg1 include cooking and arg2" ] using (activities, nutrition)
pursuits CPL @1109 (50.0%) on 12-jun-2018 [ "arg1 and interests include arg2" ] using (pursuits, nutrition)
leagueteams tufts_university CPL @1112 (75.0%) on 20-jul-2018 [ "arg2 Communications from arg1" "arg2 Communication at arg1" ] using (tufts_university, nutrition) CPL @1112 (75.0%) on 20-jul-2018 [ "arg2 Communications from arg1" "arg2 Communication at arg1" ] using (tufts_university_friedman_school, nutrition)
objectlookslikeobject screens CPL @1096 (50.0%) on 18-jan-2018 [ "arg1 and LCD arg2" ] using (screens, nutrition) CPL @1096 (50.0%) on 18-jan-2018 [ "arg1 and LCD arg2" ] using (nutrition, screens)
inverseofagriculturalproductcontainchemical fat_dairy CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 products that are high in arg2" ] using (fat_dairy, nutrition)
inverseoffooddecreasestheriskofdisease heart CPL @1096 (75.0%) on 18-jan-2018 [ "arg1 disease and arg2" "arg1 disease to arg2" ] using (heart, nutrition)