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Semantic Data Lakes and the Advance of Medicine

By   /  December 30, 2015  /  No Comments

healthcare technology x300This article charts the long path of Dr. Parsa Mirhaji and his work to bring Semantic Data Lakes and healthcare analytics together: “Mirhaji saw something in the story [from 2001] that spoke to a practical problem he had encountered in searching for and saving information on medical advances, and it set the tone for research and analytics work he continues to do now.”

”I was being challenged to do analytics on heterogeneous data sets from across the Web,” he said. “I started to learn about artificial intelligence and software agents and how they could ‘grab concepts’ from the Web or databases.”

It continues with a much deeper discussion of how Dr. Mirhaji began to integrate his ideas into real-world practice, “Mirhaji said the data lake system is still in training mode, being tested out on some specific analytics tasks. It takes in all sorts of genetic, population, health and wellness data; that includes data from the U.S. Census, clinical trials and patient records – for example, heart rate, temperature and blood pressure measurements collected by patient monitoring devices.”

The system also includes historical data “from people who have been treated in the past,” Mirhaji said, placing his and colleagues’ efforts squarely in the realm of evidence-based medicine that can include information from a hospital’s existing patient records – with some redaction for privacy – to help with diagnoses of current patients. “You build a model and validate it,” he said. “So far, we have retrospectively validated on 60,000 patients.”

Read more here.

About the author

Charles Roe is the Digital Content Manager at DATAVERSITY. He is responsible for both the article and blogging programs, as well as the DATAVERSITY Training Center. He has been a professional freelance writer and copy editor for more 15 years, and has been writing for the Data Management industry since 2009. Charles has written on a range of industry topics in numerous articles, white papers, and research reports including Data Governance, Big Data, NoSQL technologies, Data Science, Cognitive Computing, Business Intelligence & Analytics, Information Architecture, Data Modeling, Executive Management, Metadata Management, and a host of others. Charles is backed with advanced degrees in English, History, and a Cambridge degree in Language Instruction. He worked for almost 20 years as an instructor of English, History, Culture, and Writing at the college level in the USA, Europe, and Turkey. He writes creatively in his spare time.

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