Uploaded August 2021 | Updated September 2026, 2 weeks ago
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:
rapidapi.com/hub?utm_source=Siraj-Raval&utm_medium=DevRel&utm_campaign=DevRel
Code & Coding Challenge:
github.com/llSourcell/AlphaCare
Challenge Submission Link:
https://forms.gle/kBQJvfYzqEzWKUBJ9
Credits:
Physik for his ECG Flask example app:
github.com/physhik/ecg-mit-bih
Khatri007 for his MIT BIH CNN example:
kaggle.com/khatri007/mitbh-cnn
mtobeiyf for his Keras-Flask starter app
github.com/mtobeiyf/keras-flask-deploy-webapp
Roger Faerick for the Wavelet example:
gist.github.com/endolith/2783866
NichaelPham for his ECG Visualization interface:
github.com/nichealpham/cassandra-demo-app
EastSideArrythmia for the surgery clip:
youtube.com/watch?v=IJXfsZiQWCY
Alila Medical Media for the heart animation:
youtube.com/watch?v=tPqs4xKPG3A
RapidAPI symptom checker:
rapidapi.com/priaid/api/symptom-checker
More Learning Resources:
My Medical Imaging Classification video:
youtube.com/watch?v=DCcmFXXAHf4&
My CNN explainer:
youtube.com/watch?v=FTr3n7uBIuE&
MIT Video on CNNs:
youtube.com/watch?v=iaSUYvmCekI
Henry AI Labs Video on 3D CNNs:
youtube.com/watch?v=rcnKGMNyVu4
ECG Time Series Classification Video in PyTorch:
youtube.com/watch?v=qN3n0TM4Jno
Awesome list of papers + code on ECG Classification:
paperswithcode.com/task/ecg-classification
List of awesome materials on Deep Learning in healthcare:
github.com/XiaoleiZ/awesome-list-machine-learning-healthcare
Free EdX course on ML in Healthcare:
edx.org/course/machine-learning-for-healthcare
Andrew Ng's Free Deep Learning courses:
deeplearning.ai
Dr David Sinclair at Harvard Medical's Book that inspired me:
lifespanbook.com
My Math of Intelligence Playlist:
youtube.com/watch?v=xRJCOz3AfYY&list=PL2-dafEMk2A7mu0bSksCGMJEmeddU_H4D
Free Book on Intro to Statistical Learning:
statlearning.com
Follow me:
INSTAGRAM:
instagram.com/sirajraval
TWITTER:
twitter.com/sirajraval
FACEBOOK:
facebook.com/sirajologyyy
LINKEDIN:
linkedin.com/in/sirajraval
TIKTOK (i'll start posting soon):
tiktok.com/@sirajraval?lang=en
Please subscribe for more programming videos! That's what keeps me going. Join my AI community: chatgptschool.io Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): https://www.wagergpt.xyz
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:
rapidapi.com/hub?utm_source=Siraj-Raval&utm_medium=DevRel&utm_campaign=DevRel
Code & Coding Challenge:
github.com/llSourcell/AlphaCare
Challenge Submission Link:
https://forms.gle/kBQJvfYzqEzWKUBJ9
Credits:
Physik for his ECG Flask example app:
github.com/physhik/ecg-mit-bih
Khatri007 for his MIT BIH CNN example:
kaggle.com/khatri007/mitbh-cnn
mtobeiyf for his Keras-Flask starter app
github.com/mtobeiyf/keras-flask-deploy-webapp
Roger Faerick for the Wavelet example:
gist.github.com/endolith/2783866
NichaelPham for his ECG Visualization interface:
github.com/nichealpham/cassandra-demo-app
EastSideArrythmia for the surgery clip:
youtube.com/watch?v=IJXfsZiQWCY
Alila Medical Media for the heart animation:
youtube.com/watch?v=tPqs4xKPG3A
RapidAPI symptom checker:
rapidapi.com/priaid/api/symptom-checker
More Learning Resources:
My Medical Imaging Classification video:
youtube.com/watch?v=DCcmFXXAHf4&
My CNN explainer:
youtube.com/watch?v=FTr3n7uBIuE&
MIT Video on CNNs:
youtube.com/watch?v=iaSUYvmCekI
Henry AI Labs Video on 3D CNNs:
youtube.com/watch?v=rcnKGMNyVu4
ECG Time Series Classification Video in PyTorch:
youtube.com/watch?v=qN3n0TM4Jno
Awesome list of papers + code on ECG Classification:
paperswithcode.com/task/ecg-classification
List of awesome materials on Deep Learning in healthcare:
github.com/XiaoleiZ/awesome-list-machine-learning-healthcare
Free EdX course on ML in Healthcare:
edx.org/course/machine-learning-for-healthcare
Andrew Ng's Free Deep Learning courses:
deeplearning.ai
Dr David Sinclair at Harvard Medical's Book that inspired me:
lifespanbook.com
My Math of Intelligence Playlist:
youtube.com/watch?v=xRJCOz3AfYY&list=PL2-dafEMk2A7mu0bSksCGMJEmeddU_H4D
Free Book on Intro to Statistical Learning:
statlearning.com
Follow me:
INSTAGRAM:
instagram.com/sirajraval
TWITTER:
twitter.com/sirajraval
FACEBOOK:
facebook.com/sirajologyyy
LINKEDIN:
linkedin.com/in/sirajraval
TIKTOK (i'll start posting soon):
tiktok.com/@sirajraval?lang=en
Please subscribe for more programming videos! That's what keeps me going. Join my AI community: chatgptschool.io Sign up for my AI Sports betting Bot, WagerGPT! (500 spots available): https://www.wagergpt.xyz
