Selected article for: "decision tree and performance evaluate"

Author: Hui Yu; Jianbo Shao; Yuqi Guo; Yun Xiang; Chuan Sun; Ye Yuan
Title: Data-driven discovery of clinical routes for severity detection in COVID-19 pediatric cases
  • Document date: 2020_3_10
  • ID: fm6lf66a_4
    Snippet: In this study, a supervised decision-tree classifier was developed. All clinical measurements from the last available date were used as features and set 'mild' and 'severe' as labels. "-1" was used to complement the incomplete clinical measures to avoid bias. We used standard F1-score [4] to evaluate the performance of the classifier......
    Document: In this study, a supervised decision-tree classifier was developed. All clinical measurements from the last available date were used as features and set 'mild' and 'severe' as labels. "-1" was used to complement the incomplete clinical measures to avoid bias. We used standard F1-score [4] to evaluate the performance of the classifier.

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