Machine Learning in Healthcare. Part 1
DOI:
https://doi.org/10.51987/revhospitalbaires.v41i4.131Keywords:
machine learning, healthcare, electronic health record, development, research, transiscliplinary collaborationAbstract
This will be the first of two articles where the steps needed to apply machine learning methods in healthcare will be discussed. It will introduce fundamental notions about data collection, selection and training of supervised ML models as well as the methods of internal validation. In a second article, we will discuss about the performance evaluation to select the most appropriate model and its external validation.
Downloads
Downloads
Published
Issue
Section
License
Copyright (c) 2021 Instituto Universitario Hospital Italiano de Buenos Aires

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.










