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By: IBM     Published Date: Nov 29, 2012
The healthcare industry is poised for a transformation in patient care. Learn how IBM Patient Care can help leverage the full breadth of patient information, from across systems and providers to create a complete picture of health and more.
Tags : ibm, patient care, insights, treatment opportunities, deliver coordination, personalized care, patient analytics, healthcare
     IBM
By: SAS     Published Date: Mar 06, 2018
Imagine getting into your car and saying, “Take me to work,” and then enjoying an automated drive as you read the morning news. We are getting very close to that kind of scenario, and companies like Ford expect to have production vehicles in the latter part of 2020. Driverless cars are just one popular example of machine learning. It’s also used in countless applications such as predicting fraud, identifying terrorists, recommending the right products to customers at the right time, and correctly identifying medical symptoms to prescribe appropriate treatments. The concept of machine learning has been around for decades. What’s new is that it can now be applied to huge quantities of data. Cheaper data storage, distributed processing, more powerful computers and new analytical opportunities have dramatically increased interest in machine learning systems. Other reasons for the increased momentum include: maturing capabilities with methods and algorithms refactored to run in memory; the
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     SAS
By: IBM     Published Date: Nov 29, 2012
The healthcare industry is poised for a transformation in patient care. Learn how IBM helps leverage the full breadth of patient information, from across systems and providers , to create a complete picture of healthy information and more.
Tags : ibm, patient information, patient information management, health systems, healthcare systems, healthcare technology, patient care ibm
     IBM
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