What are the Challenges in Using Data Mining for Epidemiology?
Despite its potential, data mining in epidemiology faces several challenges:
Data Quality: Incomplete, inaccurate, or inconsistent data can lead to erroneous conclusions. Data Privacy: Ensuring the privacy of sensitive health information is critical. Data Integration: Combining data from multiple sources can be complex. Interpretability: The results of data mining need to be interpretable and actionable.
