Author: Felipe Soares; Aline Villavicencio; Michel Jose Anzanello; Flavio Sanson Fogliatto; Marco Idiart; Mark Stevenson
Title: A novel high specificity COVID-19 screening method based on simple blood exams and artificial intelligence Document date: 2020_4_14
ID: 2s5xd1oc_33
Snippet: The AI model is trained using a combination of three techniques: Support Vector Machines 12 , SMOTEBoost 13 , and ensembling 14 . Before training our model, C reactive protein missing values (present in 99 of the 599 samples in the reduced dataset) were imputed using the kNN algorithm with parameter k set to 5 15 ......
Document: The AI model is trained using a combination of three techniques: Support Vector Machines 12 , SMOTEBoost 13 , and ensembling 14 . Before training our model, C reactive protein missing values (present in 99 of the 599 samples in the reduced dataset) were imputed using the kNN algorithm with parameter k set to 5 15 .
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