Automated machine learning: Review of the state-of-the-art and opportunities for healthcare

作者：

Highlights：

• We review current work in the field of automated machine learning (AutoML) from a computer science and biomedical perspective.

• AutoML is a growing field that seeks to automatically select, compose, and parametrize machine learning models.

• AutoML reduces the demand for human experts, making it a valuable tool for healthcare.

• While there have been some use cases of AutoML in healthcare, more work needs to be done in order for there to be widespread adoption.

摘要

•We review current work in the field of automated machine learning (AutoML) from a computer science and biomedical perspective.•AutoML is a growing field that seeks to automatically select, compose, and parametrize machine learning models.•AutoML reduces the demand for human experts, making it a valuable tool for healthcare.•While there have been some use cases of AutoML in healthcare, more work needs to be done in order for there to be widespread adoption.

论文关键词：Machine learning,Deep learning,Automated machine learning,AutoML,Healthcare

论文评审过程：Received 8 October 2019, Revised 17 January 2020, Accepted 17 February 2020, Available online 21 February 2020, Version of Record 14 March 2020.

论文官网地址：https://doi.org/10.1016/j.artmed.2020.101822