trans_norm_day: Transform medical history by normalizing day up to maximum...

In herdiantrisufriyana/medhist: A preprocessor to construct medical history table from data source

Description

This function transforms each medical history from day interval to normalized one based on maximum period of database, inversely. For example, if maximum period is 730 days, and a code medical history is encountered at 365 days at the latest up to a visit by a subject, then this function will normalize this number into (730-365)/730=0.5. Therefore, normalized values of 0 and 1 are respectively day intervals of 730 and 0. Missing value or NA day interval is also normalized to 0.

Usage

trans_norm_day(tidy_set, day_cutoff, verbose = T)

Arguments

day_cutoff	Cutoff of the maximum days, a non-negative numeric that is used for cutoff. If day interval of a medical is more than the cutoff, then that medical history is transformed to 0. Missing value or NA is also transformed to 0.
verbose	Verbosity, a logical indicating whether progress should be shown.
mh_table	Target population data, a data frame with rows for visits and standardized columns (please see Details below). This is an output of extract_medical_history().

Value

A TidySet (i.e. ExpressionSet) containing the visits of subjects in medical history and the outcome datasets. Since a code may be encountered before db_start_date, causing the value returns NA to denote censored data, that medical history is transformed to 0.

Examples

## Create input example
data(medhistdata)

## Transform medical history by normalizing day up to maximum database days
mh_norm_day=trans_norm_day(medhistdata,730)

herdiantrisufriyana/medhist documentation built on June 24, 2021, 3:41 a.m.