DAD is a CIHI database of hospital admissions. This is an experiment with the DAD enhanced dataset to create a RandomForest model for predicting the total length of hospital stay (TLOS) based on the derived CMG fields added by Western U.

This is just a learning project for Apache Spark and Spark ML using pyspark. The accuracy of the model taking all derived categorical variables is only 20%.

Parts of this material are based on the Canadian Institute for Health Information Discharge Abstract Database Research Analytic Files (sampled from fiscal years 2014-15). However the analysis, conclusions, opinions and statements expressed herein are those of the author(s) and not those of the Canadian Institute for Health Information.

Try refining the model. PR welcome.

• Bell Eapen | McMaster U
• This package is developed and tested using Compute Canada resources.