Interpretable deep learning to map diagnostic texts to ICD-10 codes
- 22 May 2019
- journal article
- research article
- Published by Elsevier BV in International Journal of Medical Informatics
- Vol. 129, 49-59
- https://doi.org/10.1016/j.ijmedinf.2019.05.015
Abstract
No abstract availableKeywords
This publication has 21 references indexed in Scilit:
- An empirical evaluation of supervised learning approaches in assigning diagnosis codes to electronic medical recordsArtificial Intelligence in Medicine, 2015
- Automatic classification of diseases from free-text death certificates for real-time surveillanceBMC Medical Informatics and Decision Making, 2015
- Overview of the gene regulation network and the bacteria biotope tasks in BioNLP'13 shared taskBMC Bioinformatics, 2015
- MeSHLabeler: improving the accuracy of large-scale MeSH indexing by integrating diverse evidenceBioinformatics, 2015
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine TranslationPublished by Association for Computational Linguistics (ACL) ,2014
- 2010 i2b2/VA challenge on concepts, assertions, and relations in clinical textJournal of the American Medical Informatics Association, 2011
- Automatic construction of rule-based ICD-9-CM coding systemsBMC Bioinformatics, 2008
- The strength of co-authorship in gene name disambiguationBMC Bioinformatics, 2008
- Automating the Assignment of Diagnosis Codes to Patient Encounters Using Example-based and Machine Learning TechniquesJournal of the American Medical Informatics Association, 2006
- Long Short-Term MemoryNeural Computation, 1997