Deep Reinforcement Learning for Personalized Diagnostic Decision Pathways Using Electronic Health Records: A Comparative Study on Anemia and Systemic Lupus Erythematosus

arXiv:2404.05913v1 Announce Type: new
Abstract: Background: Clinical diagnosis is typically reached by following a series of steps recommended by guidelines authored by colleges of experts. Accordingly, guidelines play a crucial role in rationalizing clinical decisions but suffer from limitations as they are built to cover the majority of the population and fail at covering patients with uncommon conditions. Moreover, their updates are long and expensive, making them unsuitable for emerging diseases and practices.
Methods: Inspired by guidelines, we formulate the …

abstract arxiv clinical colleges cs.ai cs.lg decision decisions diagnosis diagnostic electronic electronic health records experts guidelines health limitations personalized records reinforcement reinforcement learning role series study type