Personalized decision making for coronary artery disease treatment using offline reinforcement learning

Related articles

1. IMPROVE Decision Rule for Carotid Revascularization: Clinician Perspectives on Acceptability and Implementation Barriers

   This article has 12 authors:

   1. Juul Bierens
   2. Stephanie Ament
   3. Martine Truijman
   4. Gert J. de Borst
   5. Paul Nederkoorn
   6. Daniel Bos
   7. Manuela Joore
   8. Alida Postma
   9. Eline Kooi
   10. Robert van Oostenbrugge
   11. Luc Smits
   12. on behalf of the IMPROVE Investigators

2. Optimized Feature Selection and Advanced Machine Learning for Stroke Risk Prediction in Revascularized Coronary Artery Disease Patients

   This article has 7 authors:

   1. Yong Si
   2. Armin Abdollahi
   3. Negin Ashrafi
   4. Greg Placencia
   5. Elham Pishgar
   6. Kamiar Alaei
   7. Maryam Pishgar

3. Machine learning approaches to predict 30-day mortality following percutaneous coronary intervention in an Australian population

   This article has 12 authors:

   1. Mohammad Rocky Khan Chowdhury
   2. Dion Stub
   3. Md Nazmul Karim
   4. Angela Brennan
   5. Christopher M. Reid
   6. Shane Nanayakkara
   7. Jeffrey Lefkovits
   8. Mohammad Ali Moni
   9. Md Shofiqul Islam
   10. Derek P. Chew
   11. Diem Dinh
   12. Baki Billah