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activities:set:smsq [2021/01/14 17:41]
ahuaulme
activities:set:smsq [2021/01/14 17:42] (current)
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 {{  :​activities:​theme1:​ah_detect_deviation.png?​300|}} {{  :​activities:​theme1:​ah_detect_deviation.png?​300|}}
-Secondly, we tried to detect deviations in a surgical process model and to distinguish the ones due to patient'​s anatomical particularities from the ones due to intra-operative events. In order to accomplish this, we use a combination of dynamic time warping and a hidden Markov model methods. Finally, we tried to identify patterns to explain and predict the appearance of intra-operative adverse events. ​+Secondly, we tried to detect deviations in a surgical process model and to distinguish the ones due to patient'​s anatomical particularities from the ones due to intra-operative events. In order to accomplish this, we use a combination of dynamic time warping and a hidden Markov model methods. Finally, we tried to identify patterns to explain and predict the appearance of intra-operative adverse events. ​\\  
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 ====== Publications ====== ====== Publications ======
inserm rennes1 ltsi