Newswise July 16, 2019
ISPOR—The Professional Society for Health Economics and Outcomes Research

Global Experts Demonstrate Common Machine Methods in Value in Health

Value in Health, the official journal of ISPOR—the professional society for health economics and outcomes research, announced today the publication of a high-level overview of machine learning for healthcare outcomes researchers and decision makers. The report, “Machine Learning for Health Services Researchers,” was published in the July 2019 issue of Value in Health.

Machine learning is a rapidly growing field that attempts to extract general concepts from large datasets, commonly in the form of an algorithm that predicts an outcome—a task that has become increasingly difficult to accomplish by humans because data volume and complexity has increased beyond what was capable with traditional statistics and desktop computers.

Machine...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), Health System / Hospital, Insurance, Market Research, Payer, Payment Models, Physician, Provider, Technology, Trends, Value Based
‘Think about the hype’ - AI holds disruptive potential for health care
Will Synthetic, AI-Based Digital Humans Change Pharma and Life Sciences? Q&A with Abid Rahman, SVP Innovation, EVERSANA
Investigators Train AI Systems to Predict RA Outcomes
Confronting the Digital Dilemma in Healthcare’s Quest for Innovation
NIH develops AI tool to better pair cancer patients with drugs

Share This Article