Differentially private and explainable machine learning for vasovagal syncope detection: a feasibility study of homomorphic encryption for secure inference
Vasovagal syncope (VVS) is a common cause of transient loss of consciousness and presents diagnostic challenges. The head-up tilt test (HUTT) is the standard method for diagnosis; however, existing approaches often show limited sensitivity, and adoption of Artificial Intelligence (AI)-based tools is constrained by conc...
Mahbuba Ferdowsi, Ban-Hoe Kwan, Maw Pin Tan et al.
· BioMedical Engineering OnLin... · 0 citations