Category Archives: Emrit Ramharracksingh

After the long and tiring journey, our documentation and presentations are finally completed, the different comparisons on the final results using different datasets, gave us even more insights to the data and some ideas on what we can do to improve or to even test some hypothesis on sepsis prediction, but that’s a story forContinue reading “Kampai!!! The End?”

The Feed Forward neural network performed great, with some tweaking and different approaches and data balancing, we had satisfactory results from the models. With results in hand the final grind is on to complete the documentation and presentations for the project now.

Due to the nearing deadline an the absurd lengths and amounts of assignments and projects that courses have given us in place of our coursework evaluations time is running out and quickly. Lacking a microwave from Steins Gate, a decision was made to delay the LSTM model as future works for the project, and continueContinue reading “Change of Plans”

Various neural networks were looked into and we tried to implement them. The main method being a LSTM, however again resources became the bane of our existence as running the models on GPU quickly overcame the TITAN’s VRAM while running on the CPU was estimated to take multiple days in which we just did notContinue reading “PyTorch & Keras”

The interpolation code take a very very long time to run even on the demo datasets, however using the demo datasets may have cost us some time in the long run here because after using the interpolation on the full datasets there were some more issues discovered, that there were some patients with 0 dataContinue reading “Interpolation”

Much of the last two weeks was spent, in sorting and merging the data into patient time-series format. After some deliberation with our supervisor the it was decided that the empty cells would be filled using the nearest value time-series wise.

Having encountered many issues in using the full datasets in cleaning and feature extraction, a decision was made to use the demo datasets to create the framework and pipelines for our data cleaning and neural network models, after a Professor at the University kindly offered the use of their personal lab machine to run theContinue reading “Demo Usage”

After our last conversation with the consulting physician, the final features on which we plan to train the neural network were designed and extracted from the datasets. Cleaning the extracted data was attempted as well, however some problems were encountered in memory resources in cleaning the larger data files.

Not much work was done this week, other than reaching out to the competitors for assistance in running and explaining their code. As other University courses had assignments due this week and time was spent working on them. Our email was responded with recommending using a virtual machine with more resources as they claim theirContinue reading “Course Assignments & Supercomputers”

Many hours this week was spent at dissecting the competition’s code to verify their results on our datasets, even having sought out the assistance of some Master students and the University who are well versed in neural networks to aid in fixing as well as documenting their code in an attempt to discover what someContinue reading “Sepsis Definition and Code Debugging”