Prospective Evaluation of the Real-world Performance of a Machine Learning Algorithm to Predict 30-Day Readmissions in Patients with Heart Failure Using Electronic Medical Record Data

Sujay S. Kakarmath, Sara Bersche Golas, Jennifer Felsted, Takuma Shibahara, Hideo Aoki, Mika Takata, Ken Naono, Joseph Kvedar, Kamal Jethwani, Stephen Agboola. Prospective Evaluation of the Real-world Performance of a Machine Learning Algorithm to Predict 30-Day Readmissions in Patients with Heart Failure Using Electronic Medical Record Data. In AMIA 2018, American Medical Informatics Association Annual Symposium, San Francisco, CA, November 3-7, 2018. AMIA, 2018. [doi]

No reviews for this publication, yet.