HAS-BLED Bleeding 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> HAS_BLED, PatientData

patient class="operator">= PatientData(
    ageclass="operator">=<span class="number">70</span>,
    sexclass="operator">=<span <span class="keyword">class</span>="string">'male'</span>,
    hypertensionclass="operator">=<span class="keyword">True</span>,
    abnormal_renal_functionclass="operator">=<span class="keyword">True</span>,
    stroke_historyclass="operator">=<span class="keyword">False</span>,
    bleeding_historyclass="operator">=<span class="keyword">False</span>,
    labile_inrclass="operator">=<span class="keyword">True</span>,
    drugs_alcoholclass="operator">=<span class="keyword">True</span>
class="bracket">)

model class="operator">= HAS_BLED()
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">"Annual bleeding risk: {result.risk_score:.1f}%"</span>)

Model Information

Resources