About: covid:arg/8e8c4edd5b6cf907c5ba7dc096fefa11c216ff1b/0

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About: covid:arg/8e8c4edd5b6cf907c5ba7dc096fefa11c216ff1b/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	Original research: How accurate are digital symptom assessment apps for suggesting conditions and urgency advice?: a clinical vignettes comparison to GPs
sioca:supports	covid:arg/8e8c4edd5b6cf907c5ba7dc096fefa11c216ff1b/2
aif:formDescription	Results Condition - suggestion coverage was highly variable , with some apps not offering a suggestion for many users : in alphabetical order , Ada : 99 . 0 % ; Babylon : 51 . 5 % ; Buoy : 88 . 5 % ; K Health : 74 . 5 % ; Mediktor : 80 . 5 % ; Symptomate : 61 . 5 % ; Your . MD :
proves	covid:arg/8e8c4edd5b6cf907c5ba7dc096fefa11c216ff1b/2
is hasSource of	nodeID://b56557584 nodeID://b56587448 nodeID://b56613812 nodeID://b56640936 nodeID://b56727300 nodeID://b56828204 nodeID://b57265912 nodeID://b57348628 nodeID://b57412872 nodeID://b57446120 nodeID://b57467132 nodeID://b57836324
is has evidence of	covid:arg/8e8c4edd5b6cf907c5ba7dc096fefa11c216ff1b

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