Daiki Shimomura

Machine learning enables clinically feasible implementation of clot waveform analysis for differentiating causes of prolonged activated partial thromboplastin time

Abstract Activated partial thromboplastin time (APTT) is widely used as a coagulation screening test; nonetheless, its prolongation can result from diverse causes, complicating the diagnosis. Clot waveform analysis (CWA) has been proposed as a complementary method, although the c...