Researchers from the University of Alberta and Alberta Health Services have developed a machine learning classifier algorithm that successfully predicts whether estrogen is sending signals to cancer cells to grow into tumors in the breast.
At the recent SAS Analytics 2013 conference in Orlando, FL the subject of healthcare was prominent. One of the session presenters, Bob Gladden of CareSource made the assertion that big data analytics is no longer optional in the healthcare industry. Listen in below to a short interview containing some interesting insights.
The health care industry is notorious for lagging behind other prominent industries in the adoption of big data technology. At the same time, few other industries could benefit as much from data science and machine learning as health care. The U.S. ranks 37th out of developed economies in life expectancy and other measures of health, […]
Big data is vital to the transformation of healthcare, but this industry is notorious for lagging behind with technology. Insurance Quotes has created a useful infographic that visually captures the growing role that big data will have in transforming the delivery of healthcare. Key highlights include: Big data could generate thousands of data points about […]
In this video from the 2013 HPC User Forum, Darren Schulte from Apixio presents: Knowledge-driven Outcomes for Healthcare. Apixio delivers actionable insights from textual, scanned, and coded data for optimal risk management, population management, and revenue.” Download the slides (PDF) or check out the HPC User Forum Video Gallery.
Electronic health records (EHRs) were supposed to revolutionize healthcare, saving up to up to $81 billion a year through innovative new efficiencies and the collection of massive amounts of data that could be used to help prevent as well as cure diseases. Well, it hasn’t happened. Writing in Computerworld, Lucas Mearian reports that EHRs have […]