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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Veröffentlicht in:	arXiv.org 2021-09
Hauptverfasser:	Cheng, Furui, Liu, Dongyu, Du, Fan, Lin, Yanna, Zytek, Alexandra, Li, Haomin, Qu, Huamin, Veeramachaneni, Kalyan
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Human-Computer Interaction Computer Science - Learning Decision analysis Decision making Electronic health records Iterative methods Literature reviews Machine learning Workflow
Online-Zugang:	Volltext
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