ADAPTING A MACHINE LEARNING MODEL BASED ON A SECOND SET OF TRAINING DATA

ADAPTING A MACHINE LEARNING MODEL BASED ON A SECOND SET OF TRAINING DATA

Systems and methods for adapting a first machine learning model that takes clinical data as input, based on a second set of training data. The first machine learning model having been trained on a first set of training data. The method comprises adding an adaption module to the first machine learnin...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Eshelman, Larry James, Ghosh, Erina
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
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Beschreibung
Zusammenfassung:Systems and methods for adapting a first machine learning model that takes clinical data as input, based on a second set of training data. The first machine learning model having been trained on a first set of training data. The method comprises adding an adaption module to the first machine learning model, the adaption module comprising a second machine learning model, and training the second machine learning model using a second set of training data to take an output of the first machine learning model as input and provide an adjusted output.