weight_gain (physiologicalcondition)
literal strings: weight-gain, weight gain, Weight Gain, Weight gain, weight_gain
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categories
- physiologicalcondition(100.0%)
- Seed
- SEAL @688 (68.4%) on 22-jan-2013 [ 1 2 3 ] using weight_gain
- OE @811 (95.3%) on 08-feb-2014 [ ] using weight_gain
NELL has only weak evidence for items listed in grey
- nondiseasecondition
- SEAL @769 (51.4%) on 10-sep-2013 [ 1 ] using weight_gain
relations
- inverseofdiseasecausesphysiologicalcondition
- aids (100.0%)
- dysthymia (100.0%)
- gestational_diabetes (100.0%)
- Seed
- CPL @1094 (50.0%) on 01-jan-2018 [ "arg2 means less risk of arg1" ] using (gestational_diabetes, weight_gain)
- LE @1081 (58.0%) on 03-dec-2017
- hypothyroidism (100.0%)
- Seed
- CPL @1103 (87.5%) on 06-mar-2018 [ "arg1 in dogs include arg2" "arg1 are unexplained arg2" "arg1 symptoms might include arg2" ] using (hypothyroidism, weight_gain)
- sideeffectcausedbydrug
- elavil (100.0%)
- ibuprofen (100.0%)
- OE @806 (100.0%) on 23-jan-2014 [ ] using (ibuprofen, weight_gain)
- SEAL @625 (100.0%) on 17-aug-2012 [ 1 ] using (ibuprofen, weight_gain)
- imipramine (100.0%)
- Seed
- OE @806 (100.0%) on 23-jan-2014 [ ] using (imipramine, weight_gain)
- SEAL @625 (100.0%) on 17-aug-2012 [ 1 2 3 4 5 6 7 8 9 ] using (imipramine, weight_gain)
- tofranil (100.0%)
- OE @826 (100.0%) on 28-mar-2014 [ ] using (tofranil, weight_gain)
- Seed
- LE @1081 (58.0%) on 03-dec-2017
NELL has only weak evidence for items listed in grey
- inverseofdiseasecausesphysiologicalcondition
- dysfunction
- CPL @1104 (75.0%) on 18-mar-2018 [ "arg2 and erectile arg1" "arg2 is due to thyroid arg1" ] using (dysfunction, weight_gain)
- physiologicalconditionpossiblytreatedbydrug
- phentermine
- CPL @1098 (50.0%) on 21-jan-2018 [ "arg1 PHENTERMINE is great for arg2" ] using (phentermine, weight_gain)
- topamax
- CPL @1113 (50.0%) on 03-aug-2018 [ "arg1 is rare that problems with arg2" ] using (topamax, weight_gain)
- sideeffectcausedbydrug
- bupropion
- CPL @1099 (50.0%) on 23-jan-2018 [ "arg1 may increase the chance of arg2" ] using (bupropion, weight_gain)
- lexapro
- CPL @1096 (50.0%) on 18-jan-2018 [ "arg1 side effects lexapro arg2" ] using (lexapro, weight_gain)
- meridia
- CPL @1103 (50.0%) on 06-mar-2018 [ "arg1 is a risk of arg2" ] using (meridia, weight_gain)
- mirtazapine
- CPL @1095 (50.0%) on 17-jan-2018 [ "arg1 was more likely to cause arg2" ] using (mirtazapine, weight_gain)
- risperdal
- CPL @1098 (50.0%) on 21-jan-2018 [ "arg1 has the less arg2" ] using (risperdal, weight_gain)
- seroquel
- CPL @1099 (50.0%) on 23-jan-2018 [ "arg2 in patients taking arg1" ] using (seroquel, weight_gain)
- synthroid
- CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 hypothyroidism arg2" ] using (synthroid, weight_gain)
- zoloft
- CPL @1100 (50.0%) on 31-jan-2018 [ "arg2 than Prozac and arg1" ] using (zoloft, weight_gain)
- zyban
- CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 may increase the chance of arg2" ] using (zyban, weight_gain)
- zyprexa
- CPL @1094 (50.0%) on 01-jan-2018 [ "arg1 also can cause severe arg2" ] using (zyprexa, weight_gain)
- academicfieldusedinjobposition
- doctor
- CPL @1115 (50.0%) on 27-aug-2018 [ "arg1 will tell you how much arg2" ] using (doctor, weight_gain)
- inverseofagriculturalproductcontainchemical
- studies
- CPL @1094 (75.0%) on 01-jan-2018 [ "arg1 have shown that too much arg2" "arg1 suggest excess arg2" ] using (studies, weight_gain)
- inverseofemotionassocietedwithdisease
- stress
- CPL @1095 (75.0%) on 17-jan-2018 [ "arg1 and stress related arg2" "arg1 and anxiety related arg2" ] using (stress, weight_gain)
- inverseoffoodcancausedisease
- drinks
- CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 is a main contributor to arg2" ] using (drinks, weight_gain)
- glucose
- CPL @1095 (75.0%) on 17-jan-2018 [ "arg2 by inhibiting the movement of arg1" "arg2 or low blood arg1" ] using (glucose, weight_gain)
- nutrition
- CPL @1113 (50.0%) on 03-aug-2018 [ "arg1 is the main culprit in arg2" ] using (nutrition, weight_gain)
- salt
- CPL @1103 (75.0%) on 06-mar-2018 [ "arg1 intake causes arg2" "arg1 intake to avoid arg2" ] using (salt, weight_gain)
- sugar
- inverseoffooddecreasestheriskofdisease
- tea
- CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 help prevent arg2" "arg1 a day can prevent arg2" ] using (tea, weight_gain)
- fiber
- CPL @1105 (50.0%) on 25-mar-2018 [ "arg1 have a lower risk for arg2" ] using (fiber, weight_gain)
- green_tea
- CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 help prevent arg2" "arg1 a day can prevent arg2" ] using (green_tea, weight_gain)
- breast
- CPL @1112 (50.0%) on 20-jul-2018 [ "arg1 implants cause arg2" ] using (breast, weight_gain)
- professiontypehasprofession
- issues
- CPL @1113 (75.0%) on 03-aug-2018 [ "arg2 and other health arg1" "arg2 and other medical arg1" ] using (issues, weight_gain)
- bodypartwithinbodypart
- chest
- CPL @1113 (50.0%) on 03-aug-2018 [ "arg1 pain or rapid arg2" ] using (chest, weight_gain)
- inverseoffoodcancausedisease
- caffeine
- CPL @1116 (50.0%) on 06-sep-2018 [ "arg1 intake to prevent arg2" ] using (caffeine, weight_gain)
- insulin
- CPL @1104 (75.0%) on 18-mar-2018 [ "arg1 levels and can lead to arg2" "arg1 levels also cause arg2" ] using (insulin, weight_gain)
- inverseoffooddecreasestheriskofdisease
- fruits
- CPL @1104 (87.5%) on 18-mar-2018 [ "arg1 and vegetables prevent arg2" "arg1 help to fight arg2" "arg1 protect against arg2" ] using (fruits, weight_gain)
- heart
- CPL @1098 (87.5%) on 21-jan-2018 [ "arg1 disease and arg2" "arg1 disease to arg2" "arg1 disease and even arg2" ] using (heart, weight_gain)
