The Feature Re-engineering

After building the LSTM in PyTorch, we continued to acquire terrible accuracy and F1 scores. This made us rethink our method of predicting sepsis.

We contacted our supervisor and decided to switch from an LSTM approach to using a Feedforward Neural Network instead.

This would mean that we needed to re-create features.

We took the time series data and made the multiple rows of data per patient into one row per patient.