Leveraging Federated Learning for Automatic Detection of Clopidogrel Treatment Failures

arXiv:2403.03368v1 Announce Type: new
Abstract: The effectiveness of clopidogrel, a widely used antiplatelet medication, varies significantly among individuals, necessitating the development of precise predictive models to optimize patient care. In this study, we leverage federated learning strategies to address clopidogrel treatment failure detection. Our research harnesses the collaborative power of multiple healthcare institutions, allowing them to jointly train machine learning models while safeguarding sensitive patient data. Utilizing the UK Biobank dataset, which encompasses a vast and diverse population, we partitioned …

abstract arxiv collaborative cs.cy cs.lg detection development failure federated learning patient patient care power predictive predictive models research strategies study treatment type