Heart Disease Detection using Quantum Computing and Partitioned Random Forest Methods

arXiv:2208.08882v3 Announce Type: replace-cross
Abstract: Heart disease morbidity and mortality rates are increasing, which has a negative impact on public health and the global economy. Early detection of heart disease reduces the incidence of heart mortality and morbidity. Recent research has utilized quantum computing methods to predict heart disease with more than 5 qubits and are computationally intensive. Despite the higher number of qubits, earlier work reports a lower accuracy in predicting heart disease, have not considered the outlier effects, …

abstract arxiv computing cs.it cs.lg detection disease economy global global economy health heart disease impact math.it math.oc mortality negative public public health quant-ph quantum quantum computing random research type