GOOGLE CAN PREDICT WHEN YOU’LL DIE USING ARTIFICIAL INTELLIGENCE
Google can predict when you’ll die using artificial intelligence Google knows everything (or at least it feels that way), and now it can even tell you when it's going to die.
The technology giant helped test an artificial intelligence computer system that can predict whether hospital patients will die 24 hours after admission.
What's more surprising is that the tests put the accuracy of AI predictions at up to 95 percent.
It works by chewing data about patients, such as their age, ethnicity and gender.
This information is then combined with information from the hospital, such as previous diagnoses, current vital signs and any laboratory results.
And what makes the system particularly accurate is that data is typically fed out of the reach of machines, such as doctors' notes hidden in graphics or PDF files.
Artificial intelligence systems become smarter over time through a process known as machine learning.
The AI was developed by a team of Stanford researchers, the University of Chicago and UC San Francisco.
Then, Google took the AI system and "taught" it using unidentified data from 216,221 adults from two US medical centers. UU
This meant that AI had more than 46 billion data points to aspire to.
Over time, the AI was able to associate certain words with a result (ie, life or death), and understand how likely (or unlikely) it was for someone to die.
What is particularly exciting about the Google system is that researchers can shed almost any kind of information about it.
Stanford professor Nigam Shah told Bloomberg that about 80 percent of the development time devoted to predictive models continues to make the data look presentable for AI.
Google can predict when you’ll die using artificial intelligence Google knows everything (or at least it feels that way), and now it can even tell you when it’s going to die.
The technology giant helped test an artificial intelligence computer system that can predict whether hospital patients will die 24 hours after admission.
What’s more surprising is that the tests put the accuracy of AI predictions at up to 95 percent.
It works by chewing data about patients, such as their age, ethnicity and gender.
This information is then combined with information from the hospital, such as previous diagnoses, current vital signs and any laboratory results.
And what makes the system particularly accurate is that data is typically fed out of the reach of machines, such as doctors’ notes hidden in graphics or PDF files.
Artificial intelligence systems become smarter over time through a process known as machine learning.
The AI was developed by a team of Stanford researchers, the University of Chicago and UC San Francisco.
Then, Google took the AI system and “taught” it using unidentified data from 216,221 adults from two US medical centers. UU
This meant that AI had more than 46 billion data points to aspire to.
Over time, the AI was able to associate certain words with a result (ie, life or death), and understand how likely (or unlikely) it was for someone to die.
What is particularly exciting about the Google system is that researchers can shed almost any kind of information about it.
Stanford professor Nigam Shah told Bloomberg that about 80 percent of the development time devoted to predictive models continues to make the data look presentable for AI.
