About: covid:arg/3aa240b9ffd915bc88c7bf53748937da33e0bf3f/0

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About: covid:arg/3aa240b9ffd915bc88c7bf53748937da33e0bf3f/0 Goto Sponge NotDistinct Permalink

An Entity of Type : amo:Evidence, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	sioca:Justification aif:I-node evidence
wasQuotedFrom	A Machine Learning Model to Identify Early Stage Symptoms of SARS-Cov-2 Infected Patients
sioca:supports	covid:arg/3aa240b9ffd915bc88c7bf53748937da33e0bf3f/1
aif:formDescription	Statistical analyses revealed that the most frequent and significant predictive symptoms are fever ( 41 . 1 % ) , cough ( 30 . 3 % ) , lung infection ( 13 . 1 % ) and runny nose ( 8 . 43 % ) .
proves	covid:arg/3aa240b9ffd915bc88c7bf53748937da33e0bf3f/1
is hasSource of	nodeID://b56623100 nodeID://b56690324 nodeID://b56723324 nodeID://b57245192 nodeID://b57414320 nodeID://b57527492 nodeID://b58021256
is sioca:supports of	covid:arg/3aa240b9ffd915bc88c7bf53748937da33e0bf3f/2 covid:arg/3aa240b9ffd915bc88c7bf53748937da33e0bf3f/1
is has evidence of	covid:arg/3aa240b9ffd915bc88c7bf53748937da33e0bf3f
is proves of	covid:arg/3aa240b9ffd915bc88c7bf53748937da33e0bf3f/2 covid:arg/3aa240b9ffd915bc88c7bf53748937da33e0bf3f/1

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