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Boosting ICD multi-label classification of health records with contextual embeddings and label-granularity.

, , , and . Comput. Methods Programs Biomed., (2020)

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On the Contribution of Per-ICD Attention Mechanisms to Classify Health Records in Languages with Fewer Resources than English., , , , and . RANLP, page 165-172. INCOMA Ltd., (2021)Extreme Multi-Label ICD Classification: Sensitivity to Hospital Service and Time., , and . IEEE Access, (2020)Boosting ICD multi-label classification of health records with contextual embeddings and label-granularity., , , and . Comput. Methods Programs Biomed., (2020)Multi-label clinical document classification: Impact of label-density., , , and . Expert Syst. Appl., (2019)Implementation of specialised attention mechanisms: ICD-10 classification of Gastrointestinal discharge summaries in English, Spanish and Swedish., , , , and . J. Biomed. Informatics, (2022)IXA-AAA at CLEF eHealth 2020 CodiEsp. Automatic Classification of Medical Records with Multi-label Classifiers and Similarity Match Coders., , and . CLEF (Working Notes), volume 2696 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)ECG compression using PCA with polynomial estimation of higher order coefficients., , and . EUSIPCO, page 1-5. IEEE, (1998)Generation of Synthetic Trajectory Microdata from Language Models., , , and . PSD, volume 13463 of Lecture Notes in Computer Science, page 172-187. Springer, (2022)The Limits of Differential Privacy (and its Misuse in Data Release and Machine Learning)., , and . CoRR, (2020)Cryptographic protocols for privacy-aware and secure e-commerce.. University of Rovira i Virgili, Spain, (2017)