Research output per year
Research output per year
Search results
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2020
Deconvolution of “big data” in cancer genomics: from pancancer level to single cells
Chepeleva, M., Wang, Y., Kakoichankava, A., Muller, A., Kaoma, T. & Nazarov, P. V., 9 Jul 2020, Computer Technologies and Data Analysis (CTDA'2020) : Materials of II International Scientific-Practical Conference, Minsk, 23-24 April, 2020. Bishkek, V. A. & Skakun, V. (eds.). Minsk: BSU, p. 7-11 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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2019
Interpretation of best medical coding practices by case-based reasoning—a user assistance prototype for data collection for cancer registries
Schnell, M., Couffignal, S., Lieber, J., Saleh, S. & Jay, N., 2019, Artificial Intelligence in Health - 1st International Workshop, AIH 2018, Revised Selected Papers. Koster, A., Koch, F., Herrero, P. & Bichindaritz, I. (eds.). Springer Verlag, p. 190-198 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11326 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
2017
Case-based interpretation of best medical coding practices—Application to data collection for cancer registries
Schnell, M., Couffignal, S., Lieber, J., Saleh, S. & Jay, N., 2017, Case-Based Reasoning Research and Development - 25th International Conference, ICCBR 2017, Proceedings. Aha, D. W. & Lieber, J. (eds.). Springer Verlag, p. 345-359 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10339 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access2 Citations (Scopus)