CMC @1103 (99.2%) on 08-mar-2018 [ SUFFIX=iber 0.76143 PREFIX=fibe 0.58815 LASTSUFFIX=iber 0.55127 LASTPREFIX=fibe 0.50955 PREFIX=fib 0.45646 PREFIX=fi 0.44954 LASTSUFFIX=ber 0.40766 WORDS -0.10109 SHORT_WORDSHAPE=Aa -0.24569 CHARS -0.67481 ] using fiber
CPL @1108 (98.1%) on 06-jun-2018 [ "organic materials such as _" "_ producing plants" "food items like _" "protein , healthy _" "I do n't eat _" "production of natural _" "_ based finish" "consumption of natural _" "supply of natural _" "leather , natural _" "provider of natural _" "adequate intake of _" "Eat lots of _" "quality raw _" "lots of dark _" "look of natural _" "natural oils in _" "meals high in _" "development of natural _" "you use plastic _" "prices of natural _" "sweetener made from _" "soaks into _" "grains , such as _" "carbohydrates include _" "diet rich in _" "bowl of fresh _" "_ include bread" "house made of _" "crops such as _" "foods , such as _" "natural grain of _" "blend of sweet _" "long pieces of _" "calories come from _" "drinking plenty of _" "drink plenty of _" "_ reinforced composites" "grains such as _" "lots of raw _" "local information about _" "spaghetti with _" "carbohydrates such as _" "carbohydrates , such as _" "grains , fresh _" "lot of gray _" "animal based _" "food rich in _" "half-cup of _" "fuel , natural _" "_ 's viscosity" "things made of _" "quality of raw _" "vegetables , whole _" "vegetables , such as _" "fuels , natural _" "legumes , such as _" "cell walls of _" "sources of raw _" "_ use efficiency" "source of raw _" "drinking lots of _" "_ has many health benefits" "drizzle of _" "access to natural _" "sources of natural _" "supply of raw _" "crops , such as _" "thin strip of _" "fruit flavored _" "whole grains such as _" "_ eating insects" "Diets high in _" "diet low in _" "saucepan with _" "lot of processed _" "fruit such as _" "tea making _" "tablespoons of _" "thin pieces of _" "combination of essential _" "seeds , red _" "granola with _" "fruits , whole _" "use of recycled _" "thin strips of _" "use of natural _" "_ is a renewable resource" "component of natural _" "crops include _" "sale of raw _" "vegetable based _" "anything made of _" "_ working tools" "furniture made of _" "water , natural _" "tablespoon of _" "tsp of _" "veggies , whole _" "world prices for _" "grain such as _" "mixture over _" "rice noodles with _" "carbohydrates like _" "domestic supply of _" "_ reinforced plastic" "few tablespoons of _" "diet high in refined _" "amounts of natural _" "natural resources , such as _" "thin piece of _" "energy , natural _" "grains , including _" "_ leaking from" "structures made of _" "commercial quantities of _" "nutrients such as _" "more servings of _" "crops like _" "carbs such as _" "amount of clean _" "basilicas of _" "cellulose into _" "whole can of _" "beauty of natural _" "necessary , add _" "demand for natural _" "_ topped with" "agricultural products such as _" "long piece of _" "use of crude _" "walks in _" "source of soluble _" "vegetables like _" "plenty of fresh _" "abundance of natural _" "thick piece of _" "_ containing carbohydrates" "_ are carbohydrates" "_ is a finite resource" "large container of _" "_ contain carbohydrates" "_ bounded by" "more grams of _" "contaminants such as _" "use of reclaimed _" "? cup of _" "natural look of _" "spoonfuls of _" "source of dietary _" "extraction of natural _" "net importer of _" "D/D cup of _" "foods low in _" "different materials like _" "supplier of natural _" "natural resources such as _" "oil based _" "management of natural _" "intake of dietary _" "moisture content of _" "cost of raw _" "acid forming _" "net exporter of _" "sugars such as _" "leaf after _" "optical axis of _" "assortment of different _" "_ is always greener" "flat piece of _" "foods are high in _" "cloves of _" "I used coconut _" "carbohydrates into _" "fruits such as _" "I use coconut _" "neck of _" "tablespoonful of _" "products , natural _" "_ producing countries" "it misses _" "foods with added _" ] using fiber
CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 can help lower arg2" "arg1 has been known to lower arg2" "arg1 may also help lower arg2" "arg1 also helps to lower arg2" "arg1 also helps lower arg2" "arg1 helps to lower arg2" "arg1 has been proven to lower arg2" "arg1 can even lower arg2" "arg1 may help lower arg2" "arg1 helps to lower your arg2" "arg1 may help to lower your arg2" "arg1 has been shown to lower arg2" "arg1 helps lower arg2" "arg1 can help to lower arg2" "arg1 may help lower your arg2" ] using (fiber, blood_cholesterol_levels)
CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 can protect against breast arg2" "arg1 reduces the risk of colorectal arg2" "arg1 may help prevent colorectal arg2" "arg1 are linked to colon arg2" "arg1 can help prevent colon arg2" "arg1 may help prevent colon arg2" "arg1 reduces colorectal arg2" "arg1 help reduce the risk of arg2" "arg1 reduces the risk of colon arg2" "arg1 intake and reduced risk of arg2" "arg1 helps prevent colon arg2" "arg1 appears to be protective against arg2" "arg1 on the risk of breast arg2" "arg1 help prevent colon arg2" "arg1 have a lower risk for arg2" "arg1 can prevent colon arg2" "arg1 might help prevent arg2" "arg1 and colorectal arg2" "arg1 and colon arg2" "arg1 protect against colon arg2" "arg1 which fight arg2" "arg1 consumption and colorectal arg2" "arg1 prevents colon arg2" "arg1 diets and colon arg2" "arg1 may protect against colorectal arg2" "arg1 to a reduced risk of arg2" "arg1 prevent colon arg2" "arg1 reduce the risk of colon arg2" "arg1 lowers the risk of colorectal arg2" "arg1 can lower the risk of arg2" "arg1 intake and colorectal arg2" "arg1 on the risk of colorectal arg2" "arg1 and the risk of colorectal arg2" "arg1 protects against colon arg2" "arg1 and the incidence of colorectal arg2" "arg1 intake and risk of colorectal arg2" "arg1 decreases the risk of arg2" "arg1 in the prevention of colon arg2" "arg1 diet may help prevent arg2" "arg1 consumption and colon arg2" "arg1 in the prevention of colorectal arg2" "arg1 may protect against colon arg2" ] using (fiber, cancer)
OE @803 (99.9%) on 13-jan-2014 [ ] using (fiber, cancer)
CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 lower the risk of arg2" "arg1 intake reduced the risk of arg2" "arg1 helps decrease the risk of arg2" "arg1 in relation to risk of arg2" "arg1 intake and reduced risk of arg2" "arg1 can lower your risk of arg2" "arg1 have a lower risk for arg2" "arg1 may reduce your risk of arg2" "arg1 to lower risk of arg2" "arg1 supplements can help prevent arg2" "arg1 is thought to protect against arg2" "arg1 may reduce your risk for arg2" "arg1 provides significant protection against arg2" "arg1 and a lower risk for arg2" "arg1 diet protects against arg2" "arg1 have a protective effect against arg2" "arg1 help prevent arg2" "arg1 decreases the risk of arg2" "arg1 foods help prevent arg2" "arg1 protect against arg2" "arg1 intake may reduce risk of arg2" ] using (fiber, colon_cancer)
Seed
SEAL @631 (100.0%) on 07-sep-2012 [ 1 ] using (fiber, colon_cancer)
OE @809 (100.0%) on 01-feb-2014 [ ] using (fiber, colon_cancer)
OE @823 (99.7%) on 17-mar-2014 [ ] using (fiber, heart_disease)
CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 intake and risk of coronary arg2" "arg1 may reduce your risk for arg2" "arg1 diet protects against arg2" "arg1 lowers your risk of arg2" "arg1 diet may help prevent arg2" "arg1 and risk of coronary arg2" "arg1 and decreased risk of coronary arg2" "arg1 foods help prevent arg2" "arg1 reduces the risk of coronary arg2" "arg1 may protect against coronary arg2" "arg1 prevents coronary arg2" "arg1 which helps protect against arg2" "arg1 may reduce your risk of arg2" "arg1 foods protect against arg2" "arg1 lower the risk of arg2" "arg1 and reduced risk of coronary arg2" "arg1 help prevent arg2" "arg1 may lower the risk of arg2" "arg1 that can help protect against arg2" "arg1 to a reduced risk of arg2" "arg1 may reduce coronary arg2" "arg1 may be protective against arg2" "arg1 also reduces risk of arg2" "arg1 reduced the risk of coronary arg2" ] using (fiber, heart_disease)
CPL @1104 (98.4%) on 18-mar-2018 [ "arg1 may reduce your risk of arg2" "arg1 can halve the risk of arg2" "arg1 that can help fight arg2" "arg1 intake may protect against arg2" "arg1 had the lowest risk for arg2" "arg1 intake and reduced risk of arg2" ] using (fiber, breast_cancer)
OE @823 (100.0%) on 17-mar-2014 [ ] using (fiber, breast_cancer)
CPL @1095 (99.2%) on 17-jan-2018 [ "arg1 content helps to prevent arg2" "arg1 help reduce the risk of arg2" "arg1 to reduced risk of arg2" "arg1 may be protective against arg2" "arg1 may reduce your risk of arg2" "arg1 protect against arg2" "arg1 help prevent many arg2" ] using (fiber, cancers)
CPL @1094 (99.2%) on 01-jan-2018 [ "arg1 that help protect against arg2" "arg1 may reduce your risk of arg2" "arg1 from whole oats and arg2" "arg1 intake and lower risk of arg2" "arg1 intake reduced the risk of arg2" "arg1 intake and reduced risk of arg2" "arg1 help reduce the risk of arg2" ] using (fiber, coronary_heart_disease)
CPL @1095 (96.9%) on 17-jan-2018 [ "arg1 and colon arg2" "arg1 reduce the risk of chronic arg2" "arg1 content helps to prevent arg2" "arg1 that can help protect against arg2" "arg1 reduces the risk of many arg2" ] using (fiber, diseases)
CPL @1105 (87.5%) on 25-mar-2018 [ "arg1 according to application and arg2" "arg1 such as coconut arg2" "arg1 include blinking arg2" ] using (products, fiber)
NELL has only weak evidence for items listed in grey
CPL @1103 (87.5%) on 06-mar-2018 [ "arg1 diet may help prevent arg2" "arg1 can lower the risk for arg2" "arg1 help prevent arg2" ] using (fiber, type_2_diabetes)
CPL @1100 (87.5%) on 31-jan-2018 [ "arg2 that is not soluble in arg1" "arg2 that dissolve in arg1" "arg2 which are insoluble in arg1" ] using (water, fiber)
CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 is also known to lower arg2" "arg1 has shown to lower arg2" "arg1 that may help to lower arg2" "arg1 may help lower your arg2" "arg1 proven to lower arg2" "arg1 can also help lower arg2" "arg1 can also help to lower arg2" "arg1 also helps to lower arg2" "arg1 aids in lowering arg2" "arg1 supplements can lower arg2" "arg1 can help to lower arg2" "arg1 also helps lower arg2" "arg1 helps lowering arg2" "arg1 can help lower arg2" "arg1 is important for lowering arg2" "arg1 prevents high arg2" "arg1 may help to lower arg2" "arg1 can help lower your arg2" "arg1 may help lower arg2" "arg1 seems to lower arg2" "arg1 can lower our arg2" "arg1 helps to lower arg2" "arg1 is said to lower arg2" "arg1 is known to lower arg2" "arg1 is good for lowering arg2" "arg1 has been shown to lower arg2" "arg1 and can help to lower arg2" "arg1 which may help lower arg2" "arg1 can help to lower your arg2" "arg1 helps lower arg2" "arg1 can reduce high arg2" ] using (fiber, cholesterol)
CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 is also known to lower arg2" "arg1 has shown to lower arg2" "arg1 that may help to lower arg2" "arg1 may help lower your arg2" "arg1 proven to lower arg2" "arg1 can also help lower arg2" "arg1 can also help to lower arg2" "arg1 also helps to lower arg2" "arg1 aids in lowering arg2" "arg1 supplements can lower arg2" "arg1 can help to lower arg2" "arg1 also helps lower arg2" "arg1 helps lowering arg2" "arg1 can help lower arg2" "arg1 is important for lowering arg2" "arg1 prevents high arg2" "arg1 may help to lower arg2" "arg1 can help lower your arg2" "arg1 may help lower arg2" "arg1 seems to lower arg2" "arg1 can lower our arg2" "arg1 helps to lower arg2" "arg1 is said to lower arg2" "arg1 is known to lower arg2" "arg1 is good for lowering arg2" "arg1 has been shown to lower arg2" "arg1 and can help to lower arg2" "arg1 which may help lower arg2" "arg1 can help to lower your arg2" "arg1 helps lower arg2" "arg1 can reduce high arg2" ] using (fiber, cholesterol)
CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 that may help to lower arg2" "arg1 is good for lowering arg2" "arg1 can help to lower arg2" "arg1 may help to lower your arg2" "arg1 seems to lower arg2" "arg1 may help lower arg2" "arg1 can help lower arg2" "arg1 also helps to lower arg2" "arg1 aids in lowering arg2" "arg1 has been shown to lower arg2" "arg1 also helps lower arg2" "arg1 that is effective in lowering arg2" "arg1 has been proven to lower arg2" "arg1 has the ability to lower arg2" "arg1 helps to lower arg2" "arg1 can reduce high arg2" "arg1 helps lower arg2" "arg1 can help lower your arg2" "arg1 might also lower arg2" "arg1 helps lower high arg2" "arg1 can help to lower high arg2" "arg1 may help lower your arg2" "arg1 supplements lower arg2" ] using (fiber, cholesterol_levels)
CPL @1094 (99.6%) on 01-jan-2018 [ "arg1 helps lower arg2" "arg1 also helps lower arg2" "arg1 can help lower arg2" "arg1 which may help lower arg2" "arg1 may help lower arg2" "arg1 is also known to lower arg2" "arg1 may also help lower arg2" "arg1 can help lower your arg2" ] using (fiber, ldl_cholesterol)
CPL @1097 (87.5%) on 19-jan-2018 [ "arg1 helps to lower arg2" "arg1 helps lower arg2" "arg1 aids in lowering arg2" ] using (fiber, total_cholesterol_levels)
CPL @1096 (96.9%) on 18-jan-2018 [ "arg1 intake to avoid arg2" "arg1 foods cause arg2" "arg1 content could cause arg2" "arg1 in the diet can cause arg2" "arg1 foods can cause arg2" ] using (fiber, gas)
CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 is also known to lower arg2" "arg1 has shown to lower arg2" "arg1 that may help to lower arg2" "arg1 may help lower your arg2" "arg1 proven to lower arg2" "arg1 can also help lower arg2" "arg1 can also help to lower arg2" "arg1 also helps to lower arg2" "arg1 aids in lowering arg2" "arg1 supplements can lower arg2" "arg1 can help to lower arg2" "arg1 also helps lower arg2" "arg1 helps lowering arg2" "arg1 can help lower arg2" "arg1 is important for lowering arg2" "arg1 prevents high arg2" "arg1 may help to lower arg2" "arg1 can help lower your arg2" "arg1 may help lower arg2" "arg1 seems to lower arg2" "arg1 can lower our arg2" "arg1 helps to lower arg2" "arg1 is said to lower arg2" "arg1 is known to lower arg2" "arg1 is good for lowering arg2" "arg1 has been shown to lower arg2" "arg1 and can help to lower arg2" "arg1 which may help lower arg2" "arg1 can help to lower your arg2" "arg1 helps lower arg2" "arg1 can reduce high arg2" ] using (fiber, cholesterol)
CPL @1103 (87.5%) on 06-mar-2018 [ "arg1 helps to lower arg2" "arg1 may help to lower your arg2" "arg1 aids in lowering arg2" ] using (fiber, blood_cholesterol_level)
CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 is also known to lower arg2" "arg1 has shown to lower arg2" "arg1 that may help to lower arg2" "arg1 may help lower your arg2" "arg1 proven to lower arg2" "arg1 can also help lower arg2" "arg1 can also help to lower arg2" "arg1 also helps to lower arg2" "arg1 aids in lowering arg2" "arg1 supplements can lower arg2" "arg1 can help to lower arg2" "arg1 also helps lower arg2" "arg1 helps lowering arg2" "arg1 can help lower arg2" "arg1 is important for lowering arg2" "arg1 prevents high arg2" "arg1 may help to lower arg2" "arg1 can help lower your arg2" "arg1 may help lower arg2" "arg1 seems to lower arg2" "arg1 can lower our arg2" "arg1 helps to lower arg2" "arg1 is said to lower arg2" "arg1 is known to lower arg2" "arg1 is good for lowering arg2" "arg1 has been shown to lower arg2" "arg1 and can help to lower arg2" "arg1 which may help lower arg2" "arg1 can help to lower your arg2" "arg1 helps lower arg2" "arg1 can reduce high arg2" ] using (fiber, cholesterol)
CPL @1096 (96.9%) on 18-jan-2018 [ "arg1 intake to avoid arg2" "arg1 foods cause arg2" "arg1 content could cause arg2" "arg1 in the diet can cause arg2" "arg1 foods can cause arg2" ] using (fiber, gas)
CPL @1096 (96.9%) on 18-jan-2018 [ "arg1 intake to avoid arg2" "arg1 foods cause arg2" "arg1 content could cause arg2" "arg1 in the diet can cause arg2" "arg1 foods can cause arg2" ] using (fiber, gas)
CPL @1094 (99.2%) on 01-jan-2018 [ "arg1 has been proven to lower arg2" "arg1 intake decreases arg2" "arg1 helps to lower arg2" "arg1 also helps to lower arg2" "arg1 can help to lower arg2" "arg1 helps lower arg2" "arg1 has been found to lower arg2" ] using (fiber, levels)
CPL @1094 (99.2%) on 01-jan-2018 [ "arg1 has been proven to lower arg2" "arg1 intake decreases arg2" "arg1 helps to lower arg2" "arg1 also helps to lower arg2" "arg1 can help to lower arg2" "arg1 helps lower arg2" "arg1 has been found to lower arg2" ] using (fiber, levels)
CPL @1096 (96.9%) on 18-jan-2018 [ "arg1 intake to avoid arg2" "arg1 foods cause arg2" "arg1 content could cause arg2" "arg1 in the diet can cause arg2" "arg1 foods can cause arg2" ] using (fiber, gas)
CPL @1096 (96.9%) on 18-jan-2018 [ "arg1 intake to avoid arg2" "arg1 foods cause arg2" "arg1 content could cause arg2" "arg1 in the diet can cause arg2" "arg1 foods can cause arg2" ] using (fiber, gas)
CPL @1096 (96.9%) on 18-jan-2018 [ "arg1 intake to avoid arg2" "arg1 foods cause arg2" "arg1 content could cause arg2" "arg1 in the diet can cause arg2" "arg1 foods can cause arg2" ] using (fiber, gas)
CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 is also known to lower arg2" "arg1 has shown to lower arg2" "arg1 that may help to lower arg2" "arg1 may help lower your arg2" "arg1 proven to lower arg2" "arg1 can also help lower arg2" "arg1 can also help to lower arg2" "arg1 also helps to lower arg2" "arg1 aids in lowering arg2" "arg1 supplements can lower arg2" "arg1 can help to lower arg2" "arg1 also helps lower arg2" "arg1 helps lowering arg2" "arg1 can help lower arg2" "arg1 is important for lowering arg2" "arg1 prevents high arg2" "arg1 may help to lower arg2" "arg1 can help lower your arg2" "arg1 may help lower arg2" "arg1 seems to lower arg2" "arg1 can lower our arg2" "arg1 helps to lower arg2" "arg1 is said to lower arg2" "arg1 is known to lower arg2" "arg1 is good for lowering arg2" "arg1 has been shown to lower arg2" "arg1 and can help to lower arg2" "arg1 which may help lower arg2" "arg1 can help to lower your arg2" "arg1 helps lower arg2" "arg1 can reduce high arg2" ] using (fiber, cholesterol)
CPL @1096 (96.9%) on 18-jan-2018 [ "arg1 intake to avoid arg2" "arg1 foods cause arg2" "arg1 content could cause arg2" "arg1 in the diet can cause arg2" "arg1 foods can cause arg2" ] using (fiber, gas)
CPL @1096 (96.9%) on 18-jan-2018 [ "arg1 intake to avoid arg2" "arg1 foods cause arg2" "arg1 content could cause arg2" "arg1 in the diet can cause arg2" "arg1 foods can cause arg2" ] using (fiber, gas)
CPL @1096 (96.9%) on 18-jan-2018 [ "arg1 intake to avoid arg2" "arg1 foods cause arg2" "arg1 content could cause arg2" "arg1 in the diet can cause arg2" "arg1 foods can cause arg2" ] using (fiber, gas)
CPL @1094 (99.2%) on 01-jan-2018 [ "arg1 has been proven to lower arg2" "arg1 intake decreases arg2" "arg1 helps to lower arg2" "arg1 also helps to lower arg2" "arg1 can help to lower arg2" "arg1 helps lower arg2" "arg1 has been found to lower arg2" ] using (fiber, levels)
CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 is also known to lower arg2" "arg1 has shown to lower arg2" "arg1 that may help to lower arg2" "arg1 may help lower your arg2" "arg1 proven to lower arg2" "arg1 can also help lower arg2" "arg1 can also help to lower arg2" "arg1 also helps to lower arg2" "arg1 aids in lowering arg2" "arg1 supplements can lower arg2" "arg1 can help to lower arg2" "arg1 also helps lower arg2" "arg1 helps lowering arg2" "arg1 can help lower arg2" "arg1 is important for lowering arg2" "arg1 prevents high arg2" "arg1 may help to lower arg2" "arg1 can help lower your arg2" "arg1 may help lower arg2" "arg1 seems to lower arg2" "arg1 can lower our arg2" "arg1 helps to lower arg2" "arg1 is said to lower arg2" "arg1 is known to lower arg2" "arg1 is good for lowering arg2" "arg1 has been shown to lower arg2" "arg1 and can help to lower arg2" "arg1 which may help lower arg2" "arg1 can help to lower your arg2" "arg1 helps lower arg2" "arg1 can reduce high arg2" ] using (fiber, cholesterol)
CPL @1096 (96.9%) on 18-jan-2018 [ "arg1 intake to avoid arg2" "arg1 foods cause arg2" "arg1 content could cause arg2" "arg1 in the diet can cause arg2" "arg1 foods can cause arg2" ] using (fiber, gas)
CPL @1094 (99.6%) on 01-jan-2018 [ "arg1 helps lower arg2" "arg1 also helps lower arg2" "arg1 can help lower arg2" "arg1 which may help lower arg2" "arg1 may help lower arg2" "arg1 is also known to lower arg2" "arg1 may also help lower arg2" "arg1 can help lower your arg2" ] using (fiber, ldl_cholesterol)
CPL @1094 (99.2%) on 01-jan-2018 [ "arg1 has been proven to lower arg2" "arg1 intake decreases arg2" "arg1 helps to lower arg2" "arg1 also helps to lower arg2" "arg1 can help to lower arg2" "arg1 helps lower arg2" "arg1 has been found to lower arg2" ] using (fiber, levels)
CPL @1094 (99.2%) on 01-jan-2018 [ "arg1 has been proven to lower arg2" "arg1 intake decreases arg2" "arg1 helps to lower arg2" "arg1 also helps to lower arg2" "arg1 can help to lower arg2" "arg1 helps lower arg2" "arg1 has been found to lower arg2" ] using (fiber, levels)
CPL @1096 (96.9%) on 18-jan-2018 [ "arg1 intake to avoid arg2" "arg1 foods cause arg2" "arg1 content could cause arg2" "arg1 in the diet can cause arg2" "arg1 foods can cause arg2" ] using (fiber, gas)
CPL @1096 (96.9%) on 18-jan-2018 [ "arg1 intake to avoid arg2" "arg1 foods cause arg2" "arg1 content could cause arg2" "arg1 in the diet can cause arg2" "arg1 foods can cause arg2" ] using (fiber, gas)
CPL @1095 (96.9%) on 17-jan-2018 [ "arg1 and colon arg2" "arg1 reduce the risk of chronic arg2" "arg1 content helps to prevent arg2" "arg1 that can help protect against arg2" "arg1 reduces the risk of many arg2" ] using (fiber, diseases)
CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 lower the risk of arg2" "arg1 intake reduced the risk of arg2" "arg1 helps decrease the risk of arg2" "arg1 in relation to risk of arg2" "arg1 intake and reduced risk of arg2" "arg1 can lower your risk of arg2" "arg1 have a lower risk for arg2" "arg1 may reduce your risk of arg2" "arg1 to lower risk of arg2" "arg1 supplements can help prevent arg2" "arg1 is thought to protect against arg2" "arg1 may reduce your risk for arg2" "arg1 provides significant protection against arg2" "arg1 and a lower risk for arg2" "arg1 diet protects against arg2" "arg1 have a protective effect against arg2" "arg1 help prevent arg2" "arg1 decreases the risk of arg2" "arg1 foods help prevent arg2" "arg1 protect against arg2" "arg1 intake may reduce risk of arg2" ] using (fiber, colon_cancer)
Seed
SEAL @631 (100.0%) on 07-sep-2012 [ 1 ] using (fiber, colon_cancer)
OE @809 (100.0%) on 01-feb-2014 [ ] using (fiber, colon_cancer)
CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 lower the risk of arg2" "arg1 intake reduced the risk of arg2" "arg1 helps decrease the risk of arg2" "arg1 in relation to risk of arg2" "arg1 intake and reduced risk of arg2" "arg1 can lower your risk of arg2" "arg1 have a lower risk for arg2" "arg1 may reduce your risk of arg2" "arg1 to lower risk of arg2" "arg1 supplements can help prevent arg2" "arg1 is thought to protect against arg2" "arg1 may reduce your risk for arg2" "arg1 provides significant protection against arg2" "arg1 and a lower risk for arg2" "arg1 diet protects against arg2" "arg1 have a protective effect against arg2" "arg1 help prevent arg2" "arg1 decreases the risk of arg2" "arg1 foods help prevent arg2" "arg1 protect against arg2" "arg1 intake may reduce risk of arg2" ] using (fiber, colon_cancer)
Seed
SEAL @631 (100.0%) on 07-sep-2012 [ 1 ] using (fiber, colon_cancer)
OE @809 (100.0%) on 01-feb-2014 [ ] using (fiber, colon_cancer)
CPL @1095 (96.9%) on 17-jan-2018 [ "arg1 and colon arg2" "arg1 reduce the risk of chronic arg2" "arg1 content helps to prevent arg2" "arg1 that can help protect against arg2" "arg1 reduces the risk of many arg2" ] using (fiber, diseases)
CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 can protect against breast arg2" "arg1 reduces the risk of colorectal arg2" "arg1 may help prevent colorectal arg2" "arg1 are linked to colon arg2" "arg1 can help prevent colon arg2" "arg1 may help prevent colon arg2" "arg1 reduces colorectal arg2" "arg1 help reduce the risk of arg2" "arg1 reduces the risk of colon arg2" "arg1 intake and reduced risk of arg2" "arg1 helps prevent colon arg2" "arg1 appears to be protective against arg2" "arg1 on the risk of breast arg2" "arg1 help prevent colon arg2" "arg1 have a lower risk for arg2" "arg1 can prevent colon arg2" "arg1 might help prevent arg2" "arg1 and colorectal arg2" "arg1 and colon arg2" "arg1 protect against colon arg2" "arg1 which fight arg2" "arg1 consumption and colorectal arg2" "arg1 prevents colon arg2" "arg1 diets and colon arg2" "arg1 may protect against colorectal arg2" "arg1 to a reduced risk of arg2" "arg1 prevent colon arg2" "arg1 reduce the risk of colon arg2" "arg1 lowers the risk of colorectal arg2" "arg1 can lower the risk of arg2" "arg1 intake and colorectal arg2" "arg1 on the risk of colorectal arg2" "arg1 and the risk of colorectal arg2" "arg1 protects against colon arg2" "arg1 and the incidence of colorectal arg2" "arg1 intake and risk of colorectal arg2" "arg1 decreases the risk of arg2" "arg1 in the prevention of colon arg2" "arg1 diet may help prevent arg2" "arg1 consumption and colon arg2" "arg1 in the prevention of colorectal arg2" "arg1 may protect against colon arg2" ] using (fiber, cancer)
OE @803 (99.9%) on 13-jan-2014 [ ] using (fiber, cancer)
CPL @1094 (99.2%) on 01-jan-2018 [ "arg1 that help protect against arg2" "arg1 may reduce your risk of arg2" "arg1 from whole oats and arg2" "arg1 intake and lower risk of arg2" "arg1 intake reduced the risk of arg2" "arg1 intake and reduced risk of arg2" "arg1 help reduce the risk of arg2" ] using (fiber, coronary_heart_disease)
OE @823 (99.7%) on 17-mar-2014 [ ] using (fiber, heart_disease)
CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 intake and risk of coronary arg2" "arg1 may reduce your risk for arg2" "arg1 diet protects against arg2" "arg1 lowers your risk of arg2" "arg1 diet may help prevent arg2" "arg1 and risk of coronary arg2" "arg1 and decreased risk of coronary arg2" "arg1 foods help prevent arg2" "arg1 reduces the risk of coronary arg2" "arg1 may protect against coronary arg2" "arg1 prevents coronary arg2" "arg1 which helps protect against arg2" "arg1 may reduce your risk of arg2" "arg1 foods protect against arg2" "arg1 lower the risk of arg2" "arg1 and reduced risk of coronary arg2" "arg1 help prevent arg2" "arg1 may lower the risk of arg2" "arg1 that can help protect against arg2" "arg1 to a reduced risk of arg2" "arg1 may reduce coronary arg2" "arg1 may be protective against arg2" "arg1 also reduces risk of arg2" "arg1 reduced the risk of coronary arg2" ] using (fiber, heart_disease)
OE @823 (99.7%) on 17-mar-2014 [ ] using (fiber, heart_disease)
CPL @1094 (100.0%) on 01-jan-2018 [ "arg1 intake and risk of coronary arg2" "arg1 may reduce your risk for arg2" "arg1 diet protects against arg2" "arg1 lowers your risk of arg2" "arg1 diet may help prevent arg2" "arg1 and risk of coronary arg2" "arg1 and decreased risk of coronary arg2" "arg1 foods help prevent arg2" "arg1 reduces the risk of coronary arg2" "arg1 may protect against coronary arg2" "arg1 prevents coronary arg2" "arg1 which helps protect against arg2" "arg1 may reduce your risk of arg2" "arg1 foods protect against arg2" "arg1 lower the risk of arg2" "arg1 and reduced risk of coronary arg2" "arg1 help prevent arg2" "arg1 may lower the risk of arg2" "arg1 that can help protect against arg2" "arg1 to a reduced risk of arg2" "arg1 may reduce coronary arg2" "arg1 may be protective against arg2" "arg1 also reduces risk of arg2" "arg1 reduced the risk of coronary arg2" ] using (fiber, heart_disease)
CPL @1104 (87.5%) on 18-mar-2018 [ "arg1 is a natural source of arg2" "arg1 has the highest amount of arg2" "arg1 is also very rich in arg2" ] using (acai_berry, fiber)
CPL @1108 (100.0%) on 07-jun-2018 [ "arg1 and vegetables contain natural arg2" "arg1 and vegetables are full of arg2" "arg1 and vegetables rich in arg2" "arg1 and vegetables also have arg2" "arg1 and vegetables are packed with arg2" "arg1 and vegetables carry arg2" "arg1 and vegetables have more arg2" "arg1 and vegetables also provide arg2" "arg1 and vegetables contain the most arg2" "arg1 and vegetables high in arg2" "arg1 and veggies high in arg2" "arg1 and vegetables are high in arg2" "arg1 and vegetables supply arg2" "arg1 and veggies contain arg2" "arg1 and vegetables provide essential arg2" "arg1 and vegetables contain lots of arg2" "arg1 and vegetables are rich in arg2" "arg1 and vegetables will provide arg2" "arg1 and vegetables also contain arg2" "arg1 and vegetables contain arg2" "arg1 and vegetables are loaded with arg2" ] using (fruits, fiber)
CPL @1094 (96.9%) on 01-jan-2018 [ "arg2 can be found in leafy arg1" "arg2 intake by eating arg1" "arg2 are leafy arg1" "arg2 include dark leafy arg1" "arg2 rich foods like arg1" ] using (green_vegetables, fiber)
CPL @1095 (87.5%) on 17-jan-2018 [ "arg1 and vegetables are rich in arg2" "arg1 and vegetables contain arg2" "arg1 and vegetables to provide arg2" ] using (fresh_fruit, fiber)
CPL @1094 (99.2%) on 01-jan-2018 [ "arg1 and vegetables contain arg2" "arg1 and vegetables contain natural arg2" "arg1 and vegetables are high in arg2" "arg1 and vegetables are loaded with arg2" "arg1 and vegetables also provide arg2" "arg1 and vegetables are rich in arg2" "arg1 and vegetables rich in arg2" ] using (fresh_fruits, fiber)
CPL @1094 (100.0%) on 01-jan-2018 [ "arg2 found in vegetables and arg1" "arg2 per serving than arg1" "arg2 rich foods like arg1" "arg2 content of coffee arg1" "arg2 intake by eating more arg1" "arg2 found in dried arg1" "arg2 rich food like arg1" "arg2 can be found in green arg1" "arg2 intake by eating arg1" "arg2 in vegetables and arg1" "arg2 in a cup of green arg1" "arg2 content of black arg1" "arg2 rich foods such as arg1" "arg2 present in green arg1" ] using (beans, fiber)
CPL @1096 (93.8%) on 18-jan-2018 [ "arg2 content of white arg1" "arg2 and protein than arg1" "arg2 rich foods like arg1" "arg2 rich foods such as arg1" ] using (rice, fiber)
CPL @1104 (99.8%) on 18-mar-2018 [ "arg1 all contain significant amounts of arg2" "arg1 are very rich sources of arg2" "arg1 contain the highest amounts of arg2" "arg1 and vegetables high in arg2" "arg1 also contain vitamins and arg2" "arg1 are high in nutrients and arg2" "arg1 are high in vitamins and arg2" "arg1 also contain significant amounts of arg2" "arg1 and beans contain arg2" ] using (vegetables, fiber)