Research output per year
Research output per year
Research output
Search results
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2018
Using recurrent neural networks to predict colorectal cancer among patients
Amirkhan, R., Hoogendoorn, M., Numans, M. E. & Moons, L., 2 Feb 2018, 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 1-8 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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2015
On the advantage of using dedicated data mining techniques to predict colorectal cancer
Kop, R., Hoogendoorn, M., Moons, L. M. G., Numans, M. E. & ten Teije, A., 2015, Artificial Intelligence in Medicine : 15th Conference on Artificial Intelligence in Medicine, AIME 2015, Pavia, Italy, June 17-20, 2015. Proceedings. Holmes, J. H., Bellazzi, R., Sacchi, L. & Peek, N. (eds.). Springer-Verlag, p. 133-142 10 p. (Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence ; vol. 9105).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
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2014
Utilizing data mining for predictive modeling of colorectal cancer using electronic medical records
Hoogendoorn, M., Moons, L. M. G., Numans, M. E. & Sips, R. J., 1 Jan 2014, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer-Verlag, Vol. 8609 LNAI. p. 132-141 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8609 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review