Heart Disease Detection using Quantum Computing and Partitioned Random Forest Methods

no code implementations • 17 Aug 2022 • Hanif Heidari, Gerhard Hellstern, Murugappan Murugappan

Compared to earlier works, the proposed HQRF achieved a maximum area under the curve (AUC) of 96. 43% and 97. 78% in predicting heart diseases using Cleveland and Statlog datasets, respectively with HQNN.

Classification Disease Prediction +1