Table V: Training AUC with and without CPR with heartrate included as a feature from Machine learning and feature engineering for predicting pulse presence during chest compressions
收藏The Royal Society Figshare2021-11-17 更新2026-04-17 收录
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https://rs.figshare.com/articles/dataset/Table_V_Training_AUC_with_and_without_CPR_with_heartrate_included_as_a_feature_from_Machine_learning_and_feature_engineering_for_predicting_pulse_presence_during_chest_compressions/16884521/1
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资源简介：
Comparison of Training AUC values and 95% confidence intervals for various models with and without heartrate (HR), where LDA : Linear Discriminant Analysis, QDA :Quadratic Discriminant Analysis, SVM: Support Vector Machine, GMM: Gaussian Mixture Model, LR: Logistic Regression, RF: Random Forest, NN: Neural Network, ConvNN: Convolutional Neural Network.
提供机构：
Rea, Thomas D.; Coult, Jason; Kudenchuk, Peter J.; Blackwood, Jennifer; Bhandari, Shiv; Kutz, J. Nathan; Kwok, Heemun; Sashidhar, Diya
创建时间：
2021-10-27
