Journal Article

Machine Learning and Prediction in Medicine — Beyond the Peak of Inflated Expectations

Chen, Jonathan H, Asch, Steven M

2017

Overview

Big data, we have all heard, promise to transform health care. But in the “hype cycle” of emerging technologies, machine learning now rides atop the “peak of inflated expectations,” and we need to better appreciate the technology’s capabilities and limitations. Big data, we have all heard, promise to transform health care with the widespread capture of electronic health records and high-volume data streams from sources ranging from insurance claims and registries to personal genomics and biosensors. 1 Artificial-intelligence and machine-learning predictive algorithms, which can already automatically drive cars, recognize spoken language, and detect credit card fraud, are the keys to unlocking the data that can precisely inform real-time decisions. But in the “hype cycle” of emerging technologies, machine learning now rides atop the “peak of inflated expectations.” 2 Prediction is not new to medicine. From risk scores to guide anticoagulation (CHADS2) and . . .

• Publisher: Massachusetts Medical Society
• Subject: Algorithms / Artificial intelligence / Aversion learning / Big Data / Health care / Health risk assessment / Learning algorithms / Machine Learning / Neural networks / Patients / Predictions / Probability / Prognosis / Risk Assessment - methods / Serial learning