Investigators from Emory University Release New Data on Measles (Deep Neural Networks for Endemic Measles Dynamics: Comparative Analysis and Integration With Mechanistic Models).

Předmět:	ARTIFICIAL neural networks MACHINE learning COMPUTATIONAL biology STANDARD deviations MEDICAL technology
Zdroj:	Health & Medicine Week; 12/20/2024, p2774-2774, 1p
Abstrakt:	A recent study conducted by investigators from Emory University focused on using deep neural networks to analyze endemic measles dynamics. The research compared the predictive power of neural network models with traditional mechanistic models, showing that neural networks consistently achieved lower error rates in forecasting measles outbreaks. The study also highlighted the potential of integrating machine learning models with mechanistic models to enhance public health responses to measles and similar infectious diseases. This research provides valuable insights into improving forecasting accuracy and understanding disease dynamics. [Extracted from the article]
Databáze:	Complementary Index
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