Health Catalyst launches free open source machine learning and artificial intelligence tool

2 min read

Health Catalyst has created Healthcare.ai, a website that offers free open source predictive analytics software for hospitals and other healthcare organizations.

“Wherever you have a data set that you pull together, you can create a model based on that by using these tools,” said Levi Thatcher, director of data science at Health Catalyst.

Machine learning and predictive analytics to improve health outcomes has so far been limited to an elite group of data scientists, mostly in the nation’s top academic medical centers, he pointed out.

Healthcare.ai – open source predictive analytics software – is part of a mission to make machine learning accessible to the thousands of healthcare professionals with only basic technical skills, but who share an interest in using the technology to improve patient care, Thatcher explained. 

By making its central repository of proven machine learning algorithms freely available, Healthcare.ai opens the doors to a large, diverse group of technical healthcare professionals to quickly use machine learning tools to build accurate models.

Moreover, the healthcare.ai site provides one central place to download the tools, read documentation, request new features, submit questions, follow the blog, and even contribute code.

“We are not just being altruistic here,” said Dale Sanders, Health Catalyst executive vice president. “By submitting our tools and algorithms to the open source community, we and our clients will benefit from the collective intelligence that exists beyond our team of data scientists.”

Healthcare.

 

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Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.