Mining surgery phase-related sequential rules from vertebroplasty simulations traces

Ben-Manson Toussaint 1, 2 Vanda Luengo 3
1 MeTAH
LIG - Laboratoire d'Informatique de Grenoble
3 MeTAH
LIG - Laboratoire d'Informatique de Grenoble
Abstract : We present in this paper an algorithm for extracting perceptual-gestural rules from heterogeneous multisource traces. The challenge that we address is two-fold: 1) represent traces such that they render coherently all aspect of this multimodal knowledge; 2) ensure that key tutoring services can be produced on top of represented traces. In the spirit of automatic knowledge acquisition paradigm proposed in the literature, we implemented PhARules, a modified version of an existing algorithm, CMRules, for mining surgery phase-aware sequential rules from simulated surgery traces. We demonstrated the efficiency of our algorithm as well its performance limits on traces of simulations of vertebroplasty recorded in TELEOS, an Intelligent Tutoring System dedicated to percutaneous orthopedic surgery.
Type de document :
Communication dans un congrès
Artificial Intelligence in Medicine, Jun 2015, Pavia, Italy. Springer
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https://hal.archives-ouvertes.fr/hal-01180276
Contributeur : Vanda Luengo <>
Soumis le : vendredi 24 juillet 2015 - 18:17:28
Dernière modification le : lundi 30 avril 2018 - 15:02:01

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  • HAL Id : hal-01180276, version 1

Citation

Ben-Manson Toussaint, Vanda Luengo. Mining surgery phase-related sequential rules from vertebroplasty simulations traces. Artificial Intelligence in Medicine, Jun 2015, Pavia, Italy. Springer. 〈hal-01180276〉

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