grace

datasets

Provides extensions for probabilistic supervised learning for
'mlr3'.  This includes extending the regression task to probabilistic
and interval regression, adding a survival task, and other specialized
models, predictions, and measures.

Michel Lang

mlr3proba

Probabilistic Supervised Learning for 'mlr3'

Raphael Sonabend

Franz Kiraly

Nurul Ain Toha

Andreas Bender

grace function

<dl class="dl-horizontal">
<dt>id</dt><dd>Identification Code</dd>
<dt>days</dt><dd>Follow up time.</dd>
<dt>death</dt><dd>Censoring indicator. 1 = Death. 0 = Censored.</dd>
<dt>revasc</dt><dd>Revascularization Performed. 1 = Yes. 0 = No.</dd>
<dt>revascdays</dt><dd>Days to revascularization after admission.</dd>
<dt>los</dt><dd>Length of hospital stay (days).</dd>
<dt>age</dt><dd>Age at admission (years).</dd>
<dt>sysbp</dt><dd>Systolic blood pressure on admission (mm Hg).</dd>
<dt>stchange</dt><dd>ST-segment deviation on index ECG. 1 = Yes. 0 = No.</dd>
</dl>

Format

GRACE 1000 Dataset — grace

<dl class='dl-horizontal'>
<dt>id</dt><dd>Identification Code</dd>
<dt>days</dt><dd>Follow up time.</dd>
<dt>death</dt><dd>Censoring indicator. 1 = Death. 0 = Censored.</dd>
<dt>revasc</dt><dd>Revascularization Performed. 1 = Yes. 0 = No.</dd>
<dt>revascdays</dt><dd>Days to revascularization after admission.</dd>
<dt>los</dt><dd>Length of hospital stay (days).</dd>
<dt>age</dt><dd>Age at admission (years).</dd>
<dt>sysbp</dt><dd>Systolic blood pressure on admission (mm Hg).</dd>
<dt>stchange</dt><dd>ST-segment deviation on index ECG. 1 = Yes. 0 = No.</dd>
</dl>

GRACE 1000 Dataset

grace: GRACE 1000 Dataset

Description

Usage

Arguments

Format

References