phecap_validate_phenotyping_model: Validate the Phenotyping Model using the Validation Labels

In PheCAP: High-Throughput Phenotyping with EHR using a Common Automated Pipeline

Description

Apply the trained model to all patients in the validation dataset, and measure the prediction accuracy via ROC and AUC.

Usage

phecap_validate_phenotyping_model(data, model)

Arguments

data	an object of class PhecapData, obtained by calling PhecapData(...)
model	an object of class PhecapModel, obtained by calling phecap_train_phenotyping_model.

Value

An object of class PhecapValidation, with components

method	the method used for model training
train_roc	ROC on training dataset
train_auc	AUC on training dataset
split_roc	average ROC on random splits of training dataset
split_auc	average AUC on random splits of training dataset
valid_roc	ROC on validation dataset
valid_auc	AUC on validation dataset

See Also

See PheCAP-package for code examples.

PheCAP documentation built on Sept. 17, 2020, 5:07 p.m.