Final Peer Review #103
Description
This project looks into prior medical data regarding readmissions from the MIMIC-III Clinical Database to predict readmission rates in patients. The goal of this project was to use Linear Regression and Random Forests to generate a predictive model regarding readmissions
What I Liked:
(i) The Data Preprocessing steps were thoroughly explained and the graphs depicted in the section inform the reader about the distribution of the data
(ii) The explanations on using Linear Regression and Random Forests were informative and effectively assessed the accuracy of each model
(iii) The Fairness section was interesting and assessed the implications of a certain model
Some Suggestions:
(i) Could any models have been further improved with some of your findings? Could hyperparameters be tuned even further?
(ii) Though the paper is informative, I would have liked to see more data and graphs regarding the model creation and assessing your model’s overall performance after initial tests were run
(iii) Could another model have been introduced instead of Linear Regression or Forests?