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_34
Snippet: Support Vector Machines (SVM) 12 is an AI technique used for binary classification (i.e. a given sample is classified as "positive" or "negative"). SVM has been successfully used in many biomedical applications 8, 16 . However, due to the small number of "positive" samples in the dataset (13.52%), the technique is prone to favor the majority class predicting all samples as "negative" and leading to extremely low sensitivity. To overcome such imba.....
Document: Support Vector Machines (SVM) 12 is an AI technique used for binary classification (i.e. a given sample is classified as "positive" or "negative"). SVM has been successfully used in many biomedical applications 8, 16 . However, due to the small number of "positive" samples in the dataset (13.52%), the technique is prone to favor the majority class predicting all samples as "negative" and leading to extremely low sensitivity. To overcome such imbalance in classes, oversampling and ensemble methods were applied.
Search related documents:
Co phrase search for related documents- binary classification and class imbalance: 1, 2
- binary classification and ensemble method: 1, 2
- class imbalance and ensemble method: 1
- class imbalance and majority class: 1, 2, 3, 4, 5, 6
- class imbalance and small number: 1
- ensemble method and small number: 1, 2, 3
- give sample and small number: 1
- positive sample and sample predict: 1
Co phrase search for related documents, hyperlinks ordered by date