VBridge : Connecting the Dots Between Features and Data to Explain Healthcare Models
Machine learning (ML) is increasingly applied to Electronic Health Records (EHRs) to solve clinical prediction tasks. Although many ML models perform promisingly, issues with model transparency and interpretability limit their adoption in clinical practice. Directly using existing explainable ML tec...
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Bibliographische Detailangaben
Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 28(2022), 1 vom: 01. Jan., Seite 378-388
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1. Verfasser: |
Cheng, Furui
(VerfasserIn) |
Weitere Verfasser: |
Liu, Dongyu,
Du, Fan,
Lin, Yanna,
Zytek, Alexandra,
Li, Haomin,
Qu, Huamin,
Veeramachaneni, Kalyan |
Format: | Online-Aufsatz
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Sprache: | English |
Veröffentlicht: |
2022
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Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |