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Found 3 papers, 1 papers with code
Genetic InfoMax: Exploring Mutual Information Maximization in High-Dimensional Imaging Genetics Studies
Genome-wide association studies (GWAS) are used to identify relationships between genetic variations and specific traits.
Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction
Deep learning (DL) based predictive models from electronic health records (EHR) deliver impressive performance in many clinical tasks.
Decoding of finger trajectory from ECoG using deep learning
We predicted the finger trajectory using ECoG signals and compared results for the least angle regression (LARS), CNN-LSTM, random forest, LSTM model (LSTM_HC, for using hard-coded features) and a decoding pipeline consisting of band-pass filtering, energy extraction, feature selection and linear regression.
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