Prospective Cardiovascular Münster Study

Python Usage

class="operator"><span <span class="keyword">class</span>="import">from</span> cvd_risk <span <span class="keyword">class</span>="import">import</span> PROCAM, PatientData

patient class="operator">= PatientData(
    ageclass="operator">=<span class="number">55</span>,
    sexclass="operator">=<span <span class="keyword">class</span>="string">'male'</span>,
    ldl_cholesterolclass="operator">=<span class="number">3.5</span>,
    hdl_cholesterolclass="operator">=<span class="number">1.2</span>,
    triglyceridesclass="operator">=<span class="number">1.8</span>,
    systolic_bpclass="operator">=<span class="number">140</span>,
    smokingclass="operator">=<span class="keyword">True</span>,
    diabetesclass="operator">=<span class="keyword">False</span>,
    family_historyclass="operator">=<span class="keyword">True</span>
class="bracket">)

model class="operator">= PROCAM()
result class="operator">= model.<span class="function">calculate</span>(patient)
class="operator"><span class="function">print</span>(f<span <span class="keyword">class</span>="string">"<span class="number">10</span>-year CHD risk: {result.risk_score:.1f}%"</span>)

Model Information

Resources