Stanford’s AI Predicts Death for Better End-of-Life Care…


….

Date: January 20, 2018

01) Stanford’s AI Predicts Death for Better End-of-Life Care

“The Stanford team’s AI algorithms rely upon deep learning, the popular machine learning technique that uses neural networks to filter and learn from huge amounts of data. The researchers trained a deep learning algorithm on the Electronic Health Records of about 2 million adult and child patients admitted to either the Stanford Hospital or Lucile Packard Children’s hospital to predict the mortality of a given patient within the next three to 12 months. (Predicting the death of a patient within three months would provide too little time for the preparations needed in palliative care.)

”We could build a predictive model using routinely collected operational data in the healthcare setting, as opposed to a carefully designed experimental study,” says Anand Avati, a PhD candidate in computer science at the AI Lab of Stanford University. “The scale of data available allowed us to build an all-cause mortality prediction model, instead of being disease or demographic specific.”

Not sure how I feel about “HAL’s opinion, on when it’s time to pull the plug…on me!…”

….

Tell Us What You Think...

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.