buildFeatureVector: This function builds a feature vector using raw patient data

In OHDSI/Aphrodite: Automated PHenotype Routine for Observational Definition Identification Training and Evaluation (APHRODITE) - Phenotype building tool using Fuzzy labels

Description

This function builds a feature vector using raw patient data. Returns a patient feature vector (divided by feature sets).

Usage

buildFeatureVector(flags, casesS, controlsS)

Arguments

flags	The R dataframe that contains all feature/model flags specified in settings.R.
casesS	Dataframe containing the raw patient data.
controlsS	(OPTIONAL) Dataframe containing the raw patient data.

Details

This function flattens the patient feature data (per feature set) into a feature vector that will be used as input for caret. This function can optionally flat two sources of patient data (cases and controls)

Value

An object containing the flattened feature vectors for all given feature sets. Of form: list(observations = FV_ob, visits = FV_v, labs = FV_lab, drugexposures = FV_de)

Examples

## Not run: 

 fv_all<-buildFeatureVector(flag, dataFcases,dataFcontrols)

 #OR

 fv_cases<-buildFeatureVector(flag, dataFcases)


## End(Not run)

OHDSI/Aphrodite documentation built on Sept. 18, 2020, 10:26 p.m.