plot_survival_km

Print scoring performance (KM curve) for survival outcome

A novel interpretable machine learning-based framework to automate the development of a clinical scoring model for predefined outcomes. Our novel framework consists of six modules: variable ranking with machine learning, variable transformation, score derivation, model selection, domain knowledge-based score fine-tuning, and performance evaluation.The details are described in our research paper<doi:10.2196/21798>. Users or clinicians could seamlessly generate parsimonious sparse-score risk models (i.e., risk scores), which can be easily implemented and validated in clinical practice. We hope to see its application in various medical case studies.

Feng Xie

AutoScore

An Interpretable Machine Learning-Based Automatic Clinical Score
Generator

Yilin Ning

Han Yuan

Mingxuan Liu

Siqi Li

Ehsan Saffari

Bibhas Chakraborty

Nan Liu

plot_survival_km function

<dl><dt>pred_score</dt>
<dd>Generated from STEP(v)<code>AutoScore_testing_Survival()</code></dd>
<dt>score_cut</dt>
<dd>Score cut-offs to be used for the analysis</dd>
<dt>risk.table</dt>
<dd>Allowed values include: TRUE or FALSE specifying whether
to show or not the risk table. Default is TRUE.</dd>
<dt>title</dt>
<dd>Title displayed in the KM curve</dd>
<dt>legend.title</dt>
<dd>Legend title displayed in the KM curve</dd>
<dt>xlim</dt>
<dd>limit for x</dd>
<dt>break.x.by</dt>
<dd>Threshold for analyze sensitivity,</dd>
<dt>...</dt>
<dd>additional parameters to pass to
<code>ggsurvplot</code> .</dd></dl>

Arguments

AutoScore function for survival outcomes: Print scoring performance (KM curve) — plot_survival_km

<dl>

<dt>pred_score</dt>
<dd>Generated from STEP(v)<code>AutoScore_testing_Survival()</code></dd>


<dt>score_cut</dt>
<dd>Score cut-offs to be used for the analysis</dd>


<dt>risk.table</dt>
<dd>Allowed values include: TRUE or FALSE specifying whether
to show or not the risk table. Default is TRUE.</dd>


<dt>title</dt>
<dd>Title displayed in the KM curve</dd>


<dt>legend.title</dt>
<dd>Legend title displayed in the KM curve</dd>


<dt>xlim</dt>
<dd>limit for x</dd>


<dt>break.x.by</dt>
<dd>Threshold for analyze sensitivity,</dd>


<dt>...</dt>
<dd>additional parameters to pass to
<code>ggsurvplot</code> .</dd>

</dl>

plot_survival_km: AutoScore function for survival outcomes: Print scoring performance (KM curve)

Description

Usage

Value

Arguments

See Also