How Can Quantum Machine Learning Improve Disease Prediction?
Traditional machine learning models have limitations in handling complex, high-dimensional data. QML algorithms, such as quantum neural networks, can process this data more efficiently. For example, QML can improve the accuracy of predictive models by better capturing the interactions between multiple variables in epidemiological data. This can lead to more precise forecasts of disease outbreaks and the identification of emerging health threats.
