MedicineComputer ScienceMathematics
DOI: 10.1002/sam.v3:4

tlooto Summary

Based on the patient medical information provided in the training and testing dataset, a series of variables were created to characterize a patient's current medical condition as well as their historical medical condition to predict the hospital transfer and hospital mortality.

Abstract

Abstract is not available.

Citation format

XIE, Jianjun; COGGESHALL, Stephen. Prediction of transfers to tertiary care and hospital mortality: A gradient boosting decision tree approach. Statistical Analysis and Data Mining-An Asa Data Science Journal, 2010, 3: 253–258.