@inproceedings{d9b4c1bcf3714d55b18ebfbc94c495f8,
title = "Case-based interpretation of best medical coding practices—Application to data collection for cancer registries",
abstract = "Cancer registries are important tools in the fight against cancer. At the heart of these registries is the data collection and coding process. Ruled by complex international standards and numerous best practices, operators are easily overwhelmed. In this paper, a system is presented to assist operators in the interpretation of best medical coding practices. By leveraging the arguments used by the coding experts to determine the best coding option, the proposed system is designed to answer the coding questions from operators and provide an answer associated with 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: The authors wish to thank the anonymous reviewers 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 International Publishing AG 2017.; 25th International Conference on Case-Based Reasoning, ICCBR 2017 ; Conference date: 26-06-2017 Through 28-06-2017",
year = "2017",
doi = "10.1007/978-3-319-61030-6_24",
language = "English",
isbn = "9783319610290",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "345--359",
editor = "Aha, {David W.} and Jean Lieber",
booktitle = "Case-Based Reasoning Research and Development - 25th International Conference, ICCBR 2017, Proceedings",
address = "Germany",
}