Improving Medical Coding with Case-Based Reasoning -Evaluation for Cancer Registries - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2019

Improving Medical Coding with Case-Based Reasoning -Evaluation for Cancer Registries

Michael Schnell
Sophie Couffignal
  • Function : Author
  • PersonId : 930041
Jean Lieber


Providing a comparable and consistent description of any entity is a difficult task. Vocabulary, semantics and objectives need to be very clearly defined and followed. The same can be said about cancer registries. They are an essential element in the fight against cancer. Among the main tasks of these registries is the data collection and coding process of cancer cases. To ensure comparable and consistent data, complex international standards and numerous best coding practices have been defined. Unfortunately this complexity can easily overwhelm operators, which are the people in charge of data collection and coding. While coding experts can help operators in their job, this represents a great burden on their precious time. To assist operators in their task and reduce the burden on coding experts, a coding assistant relying on arguments was designed and implemented. This system provides answers and a partial explanation, using arguments in favor and against answers. In this paper, a first evaluation of this system is presented, testing the system on real topography questions asked by operators.
Fichier principal
Vignette du fichier
schnell2019.pdf (388.46 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-02370896 , version 1 (19-11-2019)


  • HAL Id : hal-02370896 , version 1


Michael Schnell, Sophie Couffignal, Jean Lieber, Nicolas Jay. Improving Medical Coding with Case-Based Reasoning -Evaluation for Cancer Registries. Workshop on CBR in the Health Science at ICCBR-2019, Sep 2019, Otzenhausen, Germany. ⟨hal-02370896⟩
100 View
53 Download


Gmail Facebook X LinkedIn More