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Found 3 papers, 1 papers with code
Forecasting new diseases in low-data settings using transfer learning
Recent infectious disease outbreaks, such as the COVID-19 pandemic and the Zika epidemic in Brazil, have demonstrated both the importance and difficulty of accurately forecasting novel infectious diseases.
EEG functional connectivity and deep learning for automatic diagnosis of brain disorders: Alzheimer's disease and schizophrenia
We present a method for the automatic diagnosis of mental disorders based on the matrix of connections obtained from EEG time series and deep learning.
Neural Networks for Dengue Prediction: A Systematic Review
We summarize the relative performance of neural networks and comparator models, model architectures and hyper-parameters, as well as choices of input features.
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