SALT LAKE CITY, Dec. 1, 2016 /PRNewswire/ -- Use of machine learning and predictive analytics to improve health outcomes has so far been limited to highly-trained data scientists, mostly in the nation's top academic medical centers.
No longer. healthcare.ai is on a mission to make machine learning accessible to the thousands of healthcare professionals who possess little or no data science skills but who share an interest in using the technology to improve patient care. By making its central repository of proven machine learning algorithms available for free, healthcare.ai enables a large, diverse group of technical healthcare professionals to quickly use machine learning tools to build accurate models. The healthcare.ai site provides one central spot to download algorithms and tools, read documentation, request new features, submit questions, follow the blog, and contribute code. healthcare.ai was started by Health Catalyst, a leading data warehousing, analytics and outcomes improvement company that is contributing ongoing support to the open source community. Health Catalyst has used healthcare.ai to build predictive models that drive its clients' outcomes improvement efforts and span across the company's product lines. Models include but are not limited to a predictive model for central line associated blood stream infection (CLABSI), readmission models for COPD and other chronic conditions, schedule optimization, and financial predictions such as patient propensity to pay.