Causal Forests for Discovering Diagnostic Language in Electronic Health Records
Textual analysis has gained significant interest in medical research, particularly for automated patient diagnosis based on clinical narratives. While traditional approaches often focus on associational methods, this paper explores the application of causal forests to analyze textual data from elect...
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Published in | Applied stochastic models in business and industry Vol. 41; no. 5 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
01.09.2025
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Online Access | Get full text |
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