predictKnnUsingPlpData: Create predictive probabilities using KNN.

In OHDSI/BigKnn: Large Scale K-Nearest Neighbor Classifier using the Lucene Search Engine

Create predictive probabilities using KNN.

Description

Create predictive probabilities using KNN.

Usage

predictKnnUsingPlpData(
  plpData,
  population,
  indexFolder,
  k = 1000,
  weighted = TRUE,
  threads = 10
)

Arguments

plpData	An object of type plpData as generated using getDbPlpData.
population	The population to predict for.
indexFolder	Path to a local folder where the KNN classifier index is be stored.
k	The number of nearest neighbors to use to predict the outcome.
weighted	Should the prediction be weigthed by the (inverse of the ) distance metric?
threads	Number of parallel threads to used for the computation.

Details

Generates predictions for the population specified in plpData.

Value

The value column in the result data.frame is: logistic: probabilities of the outcome, poisson: Poisson rate (per day) of the outcome, survival: hazard rate (per day) of the outcome.

OHDSI/BigKnn documentation built on June 1, 2024, 12:13 p.m.