"Research is creating new knowledge." -Neil Armstrong
After spending two nights at Bhavesh’s, I have gotten sick as well. Maybe it wasn’t the best idea but we had to get assignments out of the way in addition to working on project Sepsis.
This week we all mainly researched heavily into Neural ODEs, LSTMs and RNNs. These models seem tough to implement but not impossible.
Okay okay I’ll try not to worry.
Hooray! My account was successfully credentialed upon completion of the CITI Research Ethics course. This allowed me to gain access to the eICU Collaborative Research Database.
The database includes vital sign measurements, care plan documentation, severity of illness measures, diagnosis information, and treatment information.
While sifting through the database, we found four data sets that were useful to us which amounted to approximately 15 G.B. of data.
We are all extremely excited to work with this data and transform it into something amazing.
Stay tuned for more cool stuff!
We finally got access to the data! Our plan for this week is to first familiarize ourselves with the data set and sanitize the data.
I also spent some of my time continuing to read on RNNs and Neural Ordinary Differential Equations to determine what would be the best for to accomplish our goal.
After accessing the EICU data set, we selected the data sets that we would need to analyze and sanitize the data to what we would need to work with.
Time was spent this week learning how RNN’s and neural ordinary differential equations work, looking for methods on how to get the most accurate model.
The final semester begins and so does major work on our final project. We aim to conduct research on predicting early onset sepsis using a deep learning models. I spent most of this first week just reading on RNNs and getting familiar with PyTorch. Also, we identified a promising data set for our research which has a large amount of entries. However, to gain access to the date set we were required to complete a online course . Therefore, I spent about two afternoons doing a CITI research ethics course and then applied for the data set. In the coming I have a ton of reading and research to do and probably a series of long nights. Wish me luck!
This week began with the collection of the related model data. The EICU database was selected on the basis of its extensive scale and the data types given.
This process involved the completion of a course on human research ethics in order to gain access to the data.
A Git repo was created for managing the project and a plan was outlined for the scope of the project.
Time was also spent on learning to use PyTorch, NumPy and Jupyter Notebooks.
As the final semester of my time at The University of The West Indies gears up to start, my best friends and I have decided to undertake the most hardcore, most thrilling project that we have worked on yet.
Sepsis is a life-threatening illness caused by your body’s response to an infection. Your immune system protects you from many illnesses and infections, but it’s also possible for it to go into overdrive in response to an infection.
In preparation for such a gigantic project, I have enrolled in various online courses that would shed some light on Pytorch, RNNs and Neural ODEs.
I was also tasked with completing a CITI course in Research Ethics in order to be credentialed so that I can be able access the eICU Database that contained patients’ data.
I am particularly looking forward to working with our project supervisor, Mr. Inzamam Rahaman because he is described as the Programming GOD.
Be yourself; Everyone else is already taken.
— Oscar Wilde.
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The Stallions Chronicle