What are the challenges associated with qnns in epidemiology?
Despite their potential, there are several challenges:
1. Technical Complexity: Developing and implementing qnns is technically complex and requires specialized knowledge. 2. Data Quality: The accuracy of qnns is heavily dependent on the quality of the data input. 3. Resource Intensive: Quantum computing requires significant computational resources and infrastructure. 4. Interpretability: The models created by qnns can be difficult to interpret, which may hinder their practical application in public health decision-making.