Thrombolysis in Myocardial Infarction Risk Score

Python Usage

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

patient class="operator">= PatientData(
    ageclass="operator">=<span class="number">70</span>,
    sexclass="operator">=<span <span class="keyword">class</span>="string">'male'</span>,
    cad_risk_factorsclass="operator">=<span class="number">3</span>,
    prior_cadclass="operator">=<span class="keyword">True</span>,
    st_deviationclass="operator">=<span class="keyword">True</span>,
    cardiac_markersclass="operator">=<span class="keyword">True</span>,
    aspirin_useclass="operator">=<span class="keyword">True</span>
class="bracket">)

model class="operator">= TIMI()
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">30</span>-day risk: {result.risk_score:.1f}%"</span>)

Model Information

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