Diagnostic test planning using machine learning techniques
A framework diagnostic test planning is described herein. In accordance with one aspect, the framework receives data representing one or more sample patients, diagnostic tests administered to the one or more sample patients, diagnostic test results and confirmed medical conditions associated with the administered diagnostic tests. The framework trains one or more classifiers based on the data to identify diagnostic test plans from the diagnostic tests. The one or more classifiers may then be applied to current patient data to generate a diagnostic test plan for a given patient.
Siemens Healthcare GmbH
G G G
G06N G06N G16H
inventional inventional additional
Xiang Sean Gerardo Luca Marcos
Zhou Hermosillo Valadez Bogoni Salganicoff