[HTML][HTML] Making machine learning matter to clinicians: model actionability in medical decision-making
DE Ehrmann, S Joshi, SD Goodfellow, ML Mazwi… - NPJ Digital …, 2023 - nature.com
Abstract Machine learning (ML) has the potential to transform patient care and outcomes.
However, there are important differences between measuring the performance of ML models …
However, there are important differences between measuring the performance of ML models …
[PDF][PDF] Making machine learning matter to clinicians: model actionability in medical decision-making
DE Ehrmann, S Joshi, SD Goodfellow, ML Mazwi… - crcs.seas.harvard.edu
There is tremendous interest in applying machine learning (ML) to the many unsolved
problems in healthcare. Published models can augment clinician awareness, perform …
problems in healthcare. Published models can augment clinician awareness, perform …
Making machine learning matter to clinicians: model actionability in medical decision-making
DE Ehrmann, S Joshi, SD Goodfellow… - NPJ Digital …, 2023 - search.proquest.com
Abstract Machine learning (ML) has the potential to transform patient care and outcomes.
However, there are important differences between measuring the performance of ML models …
However, there are important differences between measuring the performance of ML models …
Making machine learning matter to clinicians: model actionability in medical decision-making
DE Ehrmann, S Joshi, SD Goodfellow… - NPJ digital …, 2023 - pubmed.ncbi.nlm.nih.gov
Machine learning (ML) has the potential to transform patient care and outcomes. However,
there are important differences between measuring the performance of ML models in silico …
there are important differences between measuring the performance of ML models in silico …
[PDF][PDF] Making machine learning matter to clinicians: model actionability in medical decision-making
DE Ehrmann, S Joshi, SD Goodfellow, ML Mazwi… - projects.iq.harvard.edu
There is tremendous interest in applying machine learning (ML) to the many unsolved
problems in healthcare. Published models can augment clinician awareness, perform …
problems in healthcare. Published models can augment clinician awareness, perform …
[HTML][HTML] Making machine learning matter to clinicians: model actionability in medical decision-making
DE Ehrmann, S Joshi, SD Goodfellow… - NPJ Digital …, 2023 - ncbi.nlm.nih.gov
Abstract Machine learning (ML) has the potential to transform patient care and outcomes.
However, there are important differences between measuring the performance of ML models …
However, there are important differences between measuring the performance of ML models …
Making machine learning matter to clinicians: model actionability in medical decision-making.
DE Ehrmann, S Joshi, SD Goodfellow… - NPJ Digital …, 2023 - search.ebscohost.com
Abstract Machine learning (ML) has the potential to transform patient care and outcomes.
However, there are important differences between measuring the performance of ML models …
However, there are important differences between measuring the performance of ML models …
Making machine learning matter to clinicians: model actionability in medical decision-making.
DE Ehrmann, S Joshi, SD Goodfellow… - NPJ Digital …, 2023 - europepmc.org
Abstract Machine learning (ML) has the potential to transform patient care and outcomes.
However, there are important differences between measuring the performance of ML models …
However, there are important differences between measuring the performance of ML models …
Making machine learning matter to clinicians: model actionability in medical decision-making.
DE Ehrmann, S Joshi, SD Goodfellow… - NPJ Digital …, 2023 - europepmc.org
Machine learning (ML) has the potential to transform patient care and outcomes. However,
there are important differences between measuring the performance of ML models in silico …
there are important differences between measuring the performance of ML models in silico …