We have decided to course correct with the guidance of our supervisor since we wouldn’t have the time to properly adjust an LSTM model with the time we have left. Especially checking we need to do a full write and and video presentation for the project.
We have decided to put the LSTM on hold as future work along with the Neural ODE. Definitely returning to conquer that hurdle once the semester is done.
We are instead using a feedforward model. This would require is to compress our time series data into single rows for each patient. Which wasn’t that hard to do we have started to write the code and that is going smoothly.
For each feature we will expand them to the following:
- mean
- minimum
- maximum
- median
- kurtosis value
- skewness
- and standard deviation
Hopefully this model will perform well and produce better results than our competition when trying to classifying sepsis.
We have also started to draft some of the write up so that things aren’t too rushed later on. Since it clear this is gonna be a close one.
The Stallions Chronicle 