Learning Regular Expressions for Interpretable Medical Text Classification Using a Pool-based Simulated Annealing and Word-vector Models

In this paper, we propose a rule-based engine composed of high quality and interpretable regular expressions for medical text classification. The regular expressions are auto generated by a constructive heuristic method and optimized using a Pool-based Simulated Annealing (PSA) approach. Although ex...

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Veröffentlicht in:arXiv.org 2020-11
Hauptverfasser: Tu, Chaofan, Bai, Ruibin, Lu, Zheng, Aickelin, Uwe, Ge, Peiming, Zhao, Jianshuang
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Sprache:eng
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