Before the First Cut: Can AI Predict Who Makes It Home?
My Laidlaw research at Massachusetts General Hospital, Harvard: using machine learning on 4,974 double knee replacement patients to predict who won't go straight home. 4 in 10 didn't. BMI, age and preoperative haematocrit were the strongest predictors.
Research Project Proposal: Utility of Machine Learning Algorithms in Predicting Non-Home Discharge After Simultaneous Bilateral Total Knee Arthroplasty
My Laidlaw research project at Massachusetts General Hospital (Harvard Medical School) with Dr Young-Min Kwon: using machine learning and national surgical data to predict which patients will not be able to go straight home after having both knees replaced at once.