Introduction In order to create a surgery schedule for a hospital’s operating rooms, the hospital must predict how long each surgery will take. However, surgery durations are not deterministic, and hospitals must rely on the frequently inaccurate predictions of surgeons, where errors may result in underutilization of staff and resources Read more…
My second research is coming to a close next week, and I’ve been running a lot of ML experiments so I can have interesting results for my final report. However, one of the things slowing down my iterative process was the very slow training and testing process to get results. Read more…
In my review of the paper Probabilistic forecasting of surgical case duration using machine learning: model development and validation last week, I briefly mentioned the term CRPS. Today, I’ll go into a little more detail on what CRPS actually is and discuss its implementation in Python. What is CRPS? CRPS, Read more…
My second rotation has started on Monday, and I’ve decided to work with Dr. Chenyang Lu in the area of Machine Learning for Health. During the rotation, I’m going to be working especially close with York Jiao, MD, the Director of Anesthesia at the Shriners Hospital for Children in St. Read more…