Improving Model's Interpretability and Reliability using Biomarkers Article Swipe
Gautam Rajendrakumar Gare
,
Tom Fox
,
Beam Chansangavej
,
Amita Krishnan
,
Ricardo Luis Rodriguez
,
Bennett P. deBoisblanc
,
Deva Ramanan
,
John Galeotti
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2402.12394
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2402.12394
Accurate and interpretable diagnostic models are crucial in the safety-critical field of medicine. We investigate the interpretability of our proposed biomarker-based lung ultrasound diagnostic pipeline to enhance clinicians' diagnostic capabilities. The objective of this study is to assess whether explanations from a decision tree classifier, utilizing biomarkers, can improve users' ability to identify inaccurate model predictions compared to conventional saliency maps. Our findings demonstrate that decision tree explanations, based on clinically established biomarkers, can assist clinicians in detecting false positives, thus improving the reliability of diagnostic models in medicine.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2402.12394
- https://arxiv.org/pdf/2402.12394
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4392019526
All OpenAlex metadata
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https://openalex.org/W4392019526Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2402.12394Digital Object Identifier
- Title
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Improving Model's Interpretability and Reliability using BiomarkersWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-02-16Full publication date if available
- Authors
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Gautam Rajendrakumar Gare, Tom Fox, Beam Chansangavej, Amita Krishnan, Ricardo Luis Rodriguez, Bennett P. deBoisblanc, Deva Ramanan, John GaleottiList of authors in order
- Landing page
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https://arxiv.org/abs/2402.12394Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2402.12394Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2402.12394Direct OA link when available
- Concepts
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Interpretability, Reliability (semiconductor), Reliability engineering, Computer science, Artificial intelligence, Engineering, Physics, Power (physics), Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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