@inproceedings{6f2a1ffd153a4cb2955dd4bed7517774,
title = "Interpretation of best medical coding practices by case-based reasoning—a user assistance prototype for data collection for cancer registries",
abstract = "In the fight against cancer, cancer registries are an important tool. At the heart of these registries is the data collection and coding process. This process is ruled by complex international standards and numerous best practices, which can easily overwhelm (coding) operators. In this paper, a system assisting operators in the interpretation of best medical coding practices and a short evaluation are presented. By leveraging the arguments used by the coding experts to determine the best coding option, the proposed system answers coding questions from operators and provides a partial explanation for the proposed solution.",
keywords = "Cancer registries, Coding standards, Decision support, Interpretation of best practices, Interpretive case-based reasoning, User assistance",
author = "Michael Schnell and Sophie Couffignal and Jean Lieber and St{\'e}phanie Saleh and Nicolas Jay",
note = "Funding Information: Acknowledgments. The authors wish to thank the anonymous reviewers of the Joint Workshop on Artificial Intelligence in Health for their remarks which have helped in improving the quality of the paper. The first author would also like to thank the Fondation Cancer for their financial support. Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 1st International Workshop on Artificial Intelligence in Health, AIH 2018 ; Conference date: 13-07-2018 Through 14-07-2018",
year = "2019",
doi = "10.1007/978-3-030-12738-1_14",
language = "English",
isbn = "9783030127374",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "190--198",
editor = "Andrew Koster and Fernando Koch and Pau Herrero and Isabelle Bichindaritz",
booktitle = "Artificial Intelligence in Health - 1st International Workshop, AIH 2018, Revised Selected Papers",
address = "Germany",
}