In this 8-weeks challenge, 50 AI changemakers from all over the world collaborate to build an AI healthcare solution to predict cardiac arrest due to pulseless electrical activity and asystole using Machine Learning.
This challenge requires experience in Data Engineering, Machine Learning, and Predictive Modeling.
SCA is a medical emergency in which the heart suddenly stops beating, killing the patient within minutes. Survival rates for SCA are <25% within hospitals. SCA can be prevented if the underlying cause is identified and treated. When SCA occurs, immediate electric shock to the heart improves chances of survival, but delays of just two minutes between SCA onset and shock lower survival rates and raise rates of brain damage among survivors. No technology on the market alerts clinicians of a patient’s risk of SCA. Current cardiac monitoring machines only issue alerts after a patient experiences an arrest, forcing healthcare providers to race against time.
The Project Goals
The purpose of this project is to expand the cardiac arrest prediction algorithm to pulseless electrical activity and asystole, providing an all-cause cardiac arrest prediction algorithm for more than 90% of patients. The work will include the following:
Carry out exploratory data analysis: visualization, case-control proportion, choice of methods, and metrics
Perform data cleaning: noise, NaNs and Infs, missing data
Separate the data into folds
Feature engineering and selection
Model building and evaluation
Transformative has developed CodeRhythm™ with a standard data science stack using python, pandas, NumPy, Numba, TensorFlow, Sci-kit learn, SciPy, and Keras. They perform preprocessing of physiologicaldata and store algorithm states throughout data batches.
A collaborative experience you never had in your working life! For the next eight weeks, you will not only build AI solutions to make a real-world impact but also go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.
And the best part is that you will join a global and collaborative team of changemakers. Omdena AI Challenges are not a competition or hackathon but a real-world project that will take your experience of what is possible through collaboration to a new level.