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Table 3 Examples of seed facts and seed patterns as well as automatically acquired patterns and facts

From: KnowLife: a versatile approach for constructing a large knowledge graph for biomedical sciences

Seed facts Seed patterns Relations Confidences Patterns Harvested facts
c a u s e s(T u b e r c u l o s i s,P e r i c a r d i t i s) progress createsRisk 0.5 which progresses to c a u s e s(P e r i c a r d i t i s,T a m p o n a d e)
c r e a t e s R i s k(O b e s i t y,D i a b e t e s)   causes 0.5 still progressing to c r e a t e s R i s k(W a r t,S k i n c a r c i n o m a)
c r e a t e s R i s k(O b e s i t y,A s t h m a) risk factor createsRisk 1.0 children risk factors c r e a t e s R i s k(W o o d D u s t,A s t h m a)
c r e a t e s R i s k(M a l a r i a,S t i l l b i r t h)     have risk factors c r e a t e s R i s k(G o l f,T e n d i n i t i s)
     known risk factors c r e a t e s R i s k(G B v i r u s C,H e p a t i t i s)
i s S y m p t o m(P a i n,C r o h n D i s e a s e) occur affects 0.67 occurs anywhere a f f e c t s(H a s h i m o t o s,T h y r o i d G l a n d)
a f f e c t s(P e r i c a r d i t i s,H e a r t)   isSymptom 0.33 occurs patients i s S y m p t o m(A n e m i a,S a r c o i d o s i s)