Google: Deep Learning for Electronic Health Records

Google: Deep Learning for Electronic Health Records

  • May 9, 2018
Table of Contents

Google: Deep Learning for Electronic Health Records

When patients get admitted to a hospital, they have many questions about what will happen next. When will I be able to go home? Will I get better?

Will I have to come back to the hospital? Having precise answers to those questions helps doctors and nurses make care better, safer, and faster — if a patient’s health is deteriorating, doctors could be sent proactively to act before things get worse. Predicting what will happen next is a natural application of machine learning.

We wondered if the same types of machine learning that predict traffic during your commute or the next word in a translation from English to Spanish could be used for clinical predictions.

Source: googleblog.com

Share :
comments powered by Disqus

Related Posts

Lyme Disease Is on the Rise Again

Lyme Disease Is on the Rise Again

Tick-borne diseases have been ‘steadily going up every year … as the diseases expand to new areas around the country,’ Lyle Peterson of the CDC told reporters in a recent conference call announcing the updated infection estimates. Lyme disease accounts for about 80 percent of the tick-borne illnesses in the U.S.

Read More