Abstract
Machine learning is the brain of an artificial intelligence machine. We describe how it is performed and explore its current use in respiratory medicine. Potential future applications and possible issues in integration into clinical practice are discussed. http://bit.ly/31XVruW
Footnotes
Conflict of interest: E. Angelini has nothing to disclose.
Conflict of interest: S. Dahan has nothing to disclose.
Conflict of interest: A. Shah has nothing to disclose.
- Received June 20, 2019.
- Accepted September 26, 2019.
- Copyright ©ERS 2019
LIBRARY USERS
Log in through your institution
If your library has a subscription, you may already be logged in via your IP address. Otherwise you may be able to log in via one of the following routes.
You may be able to gain access using your login credentials for your institution. Contact your library if you do not have a username and password.
If your organization uses OpenAthens, you can log in using your OpenAthens username and password. To check if your institution is supported, please see this list. Contact your library for more details.
If you think you should have access, please contact your librarian or email journals@ersnet.org
Purchase access
You may purchase access to this article. This will require you to create an account if you don't already have one.
Vol 54 Issue 6
Table of Contents
Unravelling machine learning: insights in respiratory medicine
