Predicting heart attacks using supervised machine learning
Details
R-Ladies Tbilisi will be online hosting Chris Kennedy (UC Berkeley) on June 11.
The title of the talk is: "Predicting heart attacks with electronic health records using supervised ensemble machine learning". The main packages involved are SuperLearner, ggplot2, h2o, iml, dbarts, ranger, mlr, and ck37r (GitHub).
The talk will start at 19.00 Tbilisi time - please register here https://bit.ly/3dJAgT9 to receive the meetup link. It will be distributed on the day of the meetup. The talk will be held in English.