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Predictive Analytics World for Healthcare

September 27, 2015 @ 8:00 am - October 1, 2015 @ 5:00 pm

Predictive Analytics World for Healthcare focuses on real-world examples of deployed predictive analytics. Attend and witness today's rapidly emerging movement to fortify healthcare with big data's biggest win: the power to predict. The premier cross-vendor networking event, this conference assembles the industry's leaders to deliver case studies and expertise, revealing how predictive analytics improves patient care, reduces costs and brings greater efficiencies to the healthcare industry.

The PAW Healthcare program will feature sessions and case studies across Healthcare l Business Operations and Clinical applications so you can witness how predictive analytics is employed at leading enterprises and resulting in improved outcomes, lower costs, and higher patient satisfaction.

PAW Healthcare's agenda will cover hot topics and advanced methods; and applications such as Claims Analytics, Clinical Modeling, Cluster Analysis, Data Governance, Deploying Risk Models, Disease Modeling, Healthcare Informatics, Marketing Analytics, Predicting Insurance Costs, Personalized What-if Analysis, Predicting Disease and Infection, Resource Optimization, Readmission Risk, Reducing Incorrect Payments, Risk Scoring, Targeted Care Management, and other innovative applications that benefit organizations in new and creative ways.

Join PAW Healthcare and access the best keynotes, sessions, workshops, exposition, expert panel, live demos, networking coffee breaks, reception, birds-of-a-feather lunches, brand-name enterprise leaders, and industry heavyweights in the business. We look forward to seeing you September 27 – October 1, 2015 in Boston.

Register here

Details

Start:
September 27, 2015 @ 8:00 am
End:
October 1, 2015 @ 5:00 pm

Organizer

Rising Media, Inc

Venue

Unnamed Venue
Chicago, United States + Google Map

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More Information on Predictive Analysis Process

Predictive Analytics Process Flow

For more information of predictive analytics process, please review the overview of each components in the predictive analytics process: data collection (data mining), data analysis, statistical analysis, predictive modeling and predictive model deployment.

Top predictive analytics software and Top predictive analytics open source software.
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