Chulalak Kongkan

Prediction of coagulation factor inhibitor levels using Random Forest model based on the activated partial thromboplastin time (aPTT) mixing study: model development and prototype application

Abstract Objectives This study aimed to develop a machine learning approach to predict factor VIII inhibitor titers from activated partial thromboplastin time (aPTT) mixing study data. Methods Records of 173 patients who underwent factor VIII inhibitor testing at Songklanagarind...