Faces of Geneia: Kevin Schwartz
Kevin and his team are committed to streamlined, effective client implementations and ongoing support.
April 25, 2018
Fred Rahmanian, Chief Technology Officer
You’re invited to join me at the annual conference of the Association of Computing Machinery’s Special Interest Group for Knowledge Discovery and Data Mining (KDD), the world’s oldest and largest community for data mining, data science and analytics and the conference at which many of the new data science advancements are published. It’s the ultimate Geekfest, one I very much look forward to attending all year for the opportunity to reconnect with old friends and network with young data scientists, but also for the energy and enthusiasm about new applications and innovations.
KDD18 will be held in London, August 19-23. Even more exciting to me than the location is this year’s focus on healthcare. The goal of KDD18’s Heath Day at KDD18 is to bring together researchers from machine learning, computational linguistics, medical informatics and large healthcare systems to bridge the theory of machine learning, natural language processing, data mining and the needs of the healthcare community.
Undoubtedly, it’s an exciting time to work in data science and healthcare. The proliferation of new data sources, including clinical, genomic, financial, social determinants of health (SDoH) and Internet of Things (IoT), coupled with improvements in computing power and better algorithms, offers the very real possibility of addressing healthcare’s most confounding issues.
At Geneia, we’re using artificial intelligence throughout our Theon® analytics, insights and care management platform in the form of risk factors, risk numbers, propensity to engage in clinical programs, and propensity to enroll in health insurance plans. Data generated by AI is used to produce suspect and missing hierarchical condition category (HCC) codes, among other things.
Other potential uses for AI include:
At this juncture, the possibilities seem endless. Perhaps that’s why I’m so excited about the KDD18 Workshop on Machine Learning for Medicine and Healthcare that I am helping to organize.
Currently, we’re calling for papers on the application of machine learning for precision medicine and healthcare informatics. Topics may include, but are not limited to:
Submit papers, which can be full or in-progress, to: https://easychair.org/account/signin.cgi?key=69144636.53eUTmy6lR4QDlvo
Papers must be formatted according to the new Standard ACM Conference Proceedings Template, be formatted as a PDF, and a maximum of four pages, including references. The best student paper will be given a $1,000 travel grant.
Act now. The deadline for abstract submission is May 8.
We are focused on one thing: transforming healthcare – for the better, assisting health plans, hospitals, physician groups, and employers improve the health of the consumers.
Geneia’s implementation process puts the right emphasis on process, people and technology, and is designed to help our clients and their stakeholders succeed in value-based partnerships in as few as 12 weeks.
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