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Opening the Black-Box: Extracting Medical Reasoning from Machine Learning Predictions

Opening the Black-Box: Extracting Medical Reasoning from Machine Learning Predictions

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2573887182

Opening the Black-Box: Extracting Medical Reasoning from Machine Learning Predictions

About this item

Full title

Opening the Black-Box: Extracting Medical Reasoning from Machine Learning Predictions

Publisher

Cluj-Napoca: SRIMA Publishing House

Journal title

Applied medical informatics, 2021-01, Vol.43, p.20-20

Language

English

Formats

Publication information

Publisher

Cluj-Napoca: SRIMA Publishing House

More information

Scope and Contents

Contents

Background: A transparent machine learning model enables the end-user to investigate the decision process from (clinical) input data to the final prediction of the model. Modern (Deep Learning) machine learning models are highly complex and opaque - lacking the transparency required by both the clinician and the patient. Not knowing why a model pre...

Alternative Titles

Full title

Opening the Black-Box: Extracting Medical Reasoning from Machine Learning Predictions

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2573887182

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2573887182

Other Identifiers

ISSN

1224-5593

E-ISSN

2067-7855

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