Exploring drivers of patient satisfaction using a random forest algorithm.

Mecit Can Emre SimseklerNoura Hamed AlhashmiElie AzarNelson KingRana Adel Mahmoud Ali LuqmanAbdalla Al Mulla

Published in: BMC medical informatics and decision making (2021)

Generating valuable results, the random forest model provides significant insights on the relative importance of different determinants to overall patient satisfaction. Healthcare practitioners, managers and researchers can benefit from applying the model for prediction and feature importance analysis in their particular healthcare settings and areas of their concern.

Keyphrases

patient satisfaction
healthcare
climate change
machine learning
deep learning
neural network
primary care
health information