AI RESEARCH
Hybrid Quantum Neural Network for Multivariate Clinical Time Series Forecasting
arXiv CS.LG
•
ArXi:2603.08072v1 Announce Type: new Forecasting physiological signals can proactive monitoring and timely clinical intervention by anticipating critical changes in patient status. In this work, we address multivariate multi-horizon forecasting of physiological time series by jointly predicting heart rate, oxygen saturation, pulse rate, and respiratory rate at forecasting horizons of 15, 30, and 60 seconds. We propose a hybrid quantum-classical architecture that integrates a Variational Quantum Circuit (VQC) within a recurrent neural backbone.