A build-from-scratch 1D CNN language model used on patient's discharge summary phenotyping and comparing the LM with concept extraction based classification models.

In this article, we will cover a simple Long Short Term Memory autoencoder with the help of Keras and python. What is an LSTM autoencoder? LSTM autoencoder is an encoder that makes use of LSTM encoder ...

To address imbalance, an approach using weighted loss function and an approach using synthetic data generated through a combination of variational autoencoder and the Adaptive ... predicting evasion ...