cehr-bert
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CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks
- Upload Tensorflow to 2.12 so we can use TensorFlow's version of MultiHeadAttention - Replace our own implementation of [MultiHeadAttention](https://github.com/cumc-dbmi/cehr-bert/blob/8862fd6a1f026839d301625fb30a1ba7e19a4672/models/custom_layers.py#L81) with the Tensorflow version of [MultiHeadAttention](https://www.tensorflow.org/api_docs/python/tf/keras/layers/MultiHeadAttention) - Toggle `mask` at...
Hi, Can you please add a simple notebook for a use-case of the models and going about training the network from scratch with sample Temporal data X, and prediction label...
I've been able to follow the tutorial in the README just fine, except for the last line. I've downloaded the Synthea data, converted it to the training data format, and...
The current normalization method for age is applied on the entire dataset before splitting up which might cause age information leakage for the future so it isn't aligned with the...