Convolutional Networks for Heart Disease Prediction (AlphaCare: Episode 1)

AlphaCare is an open-source project that Keshav Boudaria and I have been working on for the past few weeks, and it's built entirely on top of freely available open-source data, algorithms, and compute. In this first video of the AlphaCare series, I'll explain how we can use it to classify ECG data from patient heartbeats to accurately predict the likelihood of different types of heart disease, mainly Arrhythmia. The goal of AlphaCare is to progressively improve it's capabilities as a community until it's able to be used as a tool to treat and prevent the top 10 major disease globally. Ultimately, we'd like to use it to treat the root cause of all diseases, Aging. AlphaCare is a work in progress, we have a lot of work to do together. I can't wait to learn and grow with all of you, let's make a massive positive impact together! Big thanks to RapidAPI for sponsoring this video series: https://rapidapi.com/hub?utm_source=Siraj-Raval&utm_medium=DevRel&utm_campaign=DevRel Code & Coding Challenge: https://github.com/llSourcell/AlphaCare Challenge Submission Link: https://forms.gle/kBQJvfYzqEzWKUBJ9 Credits: Physik for his ECG Flask example app: https://github.com/physhik/ecg-mit-bih Khatri007 for his MIT BIH CNN example: https://www.kaggle.com/khatri007/mitbh-cnn mtobeiyf for his Keras-Flask starter app https://github.com/mtobeiyf/keras-flask-deploy-webapp Roger Faerick for the Wavelet example: https://gist.github.com/endolith/2783866 NichaelPham for his ECG Visualization interface: https://github.com/nichealpham/cassandra-demo-app EastSideArrythmia for the surgery clip: https://www.youtube.com/watch?v=IJXfsZiQWCY Alila Medical Media for the heart animation: https://www.youtube.com/watch?v=tPqs4xKPG3A RapidAPI symptom checker: https://rapidapi.com/priaid/api/symptom-checker/ More Learning Resources: My Medical Imaging Classification video: https://www.youtube.com/watch?v=DCcmFXXAHf4& My CNN explainer: https://www.youtube.com/watch?v=FTr3n7uBIuE& MIT Video on CNN