Newswise July 16, 2019
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...