Predicting Cardiac Arrest 24 Hours Before it Happens

June 15, 2011
63 Views

We are starting to hear more about machine learning technologies and for a prettyimage well known answer, think about IBM Watson’s 70 servers and there’s

We are starting to hear more about machine learning technologies and for a prettyimage well known answer, think about IBM Watson’s 70 servers and there’s one that most have probably heard of, in other words the machines store data and when new queries are presented, former queries are also stored for reference in a nutshell.

According to the article the patient medical records have a role in how this works with supplying data and when all is analyzed based on the input from the various sources, when certain parameters are met, a prediction of a cardiac arrest can be made.  The company hopes to move on to sepsis and other issues down the road.  This is basically eliminating the “human” expert from the circle; however a human still needs too look and address and make decisions from the information given. 

As I said about 3 years ago, whistleblowers and algorithms are a couple of the hottest 2 trends in healthcare and it appears it still hold some value here.  The algorithm claims to be able to predict within 24 hours as to when a heart attack would occur but there was no percentage of accuracy quotes and perhaps hospital trials will be able to give us more information.  BD 

Casey ChanPredictive Medical Technologies has developed a system that can mine the medical data of a patient—lab reports, monitors, nurse notes, etc.—and predict whether that patient will suffer from cardiac arrest or respiratory failure within 24 hours.

It’s a system that can be integrated into hospitals that are “at a certain technological level” without any new hardware, sampling or extra time. That technological level is rare though, with only 100 US hospitals properly equipped.

An Algorithm Can Predict Cardiac Arrest 24 Hours Before it Happens


You may be interested

Where Is The Balance? Pushing Back Against Consumer Health Tech
eHealth
1 views
eHealth
1 views

Where Is The Balance? Pushing Back Against Consumer Health Tech

Larry Alton - August 18, 2017

When Republican Congressman Jason Chaffetz glibly remarked that Americans struggling to afford insurance should choose between that and their smartphones,…

What to Look for in Patient Solutions Software
eHealth
365 views
eHealth
365 views

What to Look for in Patient Solutions Software

Robert Cordray - August 17, 2017

The medical sector is one area where technology has had a significant impact, largely by providing tools that simplify many…

Can Natural Remedies Like RediCalm Decrease Stress and Anxiety?
Wellness
2 views
Wellness
2 views

Can Natural Remedies Like RediCalm Decrease Stress and Anxiety?

Ryan Kh - August 16, 2017

According to research from the National Institute of Mental Health, anxiety disorders are the most common mental illness in the…