Crossmark

Machine Learning to Predict, Detect, and Intervene Older Adults Vulnerable for Adverse Drug Events in the Emergency Department

Published Online: 2018-06-01

Published Print: 2018-09

Authors

Ouchi, Kei https://orcid.org/0000-0002-2723-4259
Lindvall, Charlotta

Chai, Peter R.

Boyer, Edward W.
Funding

Funding for this research was provided by:

National Institute on Drug Abuse (1K24DA037109)

National Institute on Aging (1R03AG056449)
License Information

Text and Data Mining valid from 2018-06-01

Version of Record valid from 2018-06-01
More Information

Article History

Received: 28 March 2018

Revised: 15 May 2018

Accepted: 21 May 2018

First Online: 1 June 2018

Compliance with Ethical Standards

:

: The authors declare there are no additional conflicts of interest.

Document is current