What Are the Benefits of Using Deep Learning in Epidemiology?
Improved Predictive Accuracy: Deep learning models can handle complex, high-dimensional data, resulting in more accurate predictions. Automation of Data Analysis: These models can automate the process of data cleaning, integration, and analysis, which saves time and reduces human error. Real-Time Analysis: Deep learning can process data in real-time, which is crucial for timely public health interventions.
