Be empowered with MS views and news. To receive The MS BEACON e-Newsletter, Opt-in with us:

Please visit our MS learning channel on YouTube, which provides hundreds of MS topics presented by MS Experts across the USA, from many of our video recorded education programs. Archived here: -- PLUS Visit our Social media platforms: Facebook, Twitter, and Instagram

~~ Left side of this blog shows resources, needed by many. Easiest way to find topic or articles is to use our 'search by topic' tool, to find specific information ~~

Disclaimer: 'MS Views and News' DOES NOT endorse any products or services found on this blog. It is up to you to seek advice from your healthcare provider. The intent of this blog is to provide information on various medical conditions, medications, treatments, and procedures for your personal knowledge and to keep you informed of current health-related issues. It is not intended to be complete or exhaustive, nor is it a substitute for the advice of your physician. Should you or your family members have any specific medical problem, seek medical care promptly.


Tuesday, July 31, 2018

Machine Learning Platform Can Accurately Predict Onset of MS, Maker Says

The platform was validated using a pilot study that assessed the healthcare claims of 20 million people in New York, which encompassed four billion data points. IQuity focused on using these data to predict the onset of MS.
Results showed that the approach was able to predict, with greater than 90 percent accuracy, the onset of MS within the New York population at least eight months before traditional methods would enable a diagnosis of the disease.
Earlier diagnosis in MS patients, as well as other patient populations, would lead to significant benefits in outcomes and also to financial savings, particularly as healthcare spending tends to increase prior to obtaining a definite diagnosis.
That is why the development of this new technology may lead to an improvement in patient outcomes, while also lowering healthcare costs.
Consequently, this platform is attractive to organizations that are responsible for healthcare expenses, such as employers, benefit managers, health insurance companies, pharmaceutical companies, and care management companies.
Read More


CLICK BOX to SUBSCRIBE to our MS Learning Channel on YouTube: 


No comments: