Foundations of statistical natural language processing
Foundations of statistical natural language processing
Organizational Management in Workflow Applications – Issues and Perspectives
Information Technology and Management
Fuzzy c-means clustering with prior biological knowledge
Journal of Biomedical Informatics
Temporal similarity measures for querying clinical workflows
Artificial Intelligence in Medicine
Real-time identification of operating room state from video
IAAI'07 Proceedings of the 19th national conference on Innovative applications of artificial intelligence - Volume 2
On-line recognition of surgical activity for monitoring in the operating room
IAAI'08 Proceedings of the 20th national conference on Innovative applications of artificial intelligence - Volume 3
Data clustering: 50 years beyond K-means
Pattern Recognition Letters
Eye-gaze driven surgical workflow segmentation
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Beyond process mining: from the past to present and future
CAiSE'10 Proceedings of the 22nd international conference on Advanced information systems engineering
Modeling and segmentation of surgical workflow from laparoscopic video
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part III
Process Mining: Discovery, Conformance and Enhancement of Business Processes
Process Mining: Discovery, Conformance and Enhancement of Business Processes
Discovery of high-level tasks in the operating room
Journal of Biomedical Informatics
Toward automated workflow analysis and visualization in clinical environments
Journal of Biomedical Informatics
Acquisition of process descriptions from surgical interventions
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
Pattern-based real-time feedback for a temporal bone simulator
Proceedings of the 19th ACM Symposium on Virtual Reality Software and Technology
Multi-site study of surgical practice in neurosurgery based on surgical process models
Journal of Biomedical Informatics
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In the creation of new computer-assisted intervention systems, Surgical Process Models (SPMs) are an emerging concept used for analyzing and assessing surgical interventions. SPMs represent Surgical Processes (SPs) which are formalized as symbolic structured descriptions of surgical interventions using a pre-defined level of granularity and a dedicated terminology. In this context, one major challenge is the creation of new metrics for the comparison and the evaluation of SPs. Thus, correlations between these metrics and pre-operative data are used to classify surgeries and highlight specific information on the surgery itself and on the surgeon, such as his/her level of expertise. In this paper, we explore the automatic classification of a set of SPs based on the Dynamic Time Warping (DTW) algorithm. DTW is used to compute a similarity measure between two SPs that focuses on the different types of activities performed during surgery and their sequencing, by minimizing time differences. Indeed, it turns out to be a complementary approach to the classical methods that only focus on differences in the time and the number of activities. Experiments were carried out on 24 lumbar disk herniation surgeries to discriminate the surgeons level of expertise according to a prior classification of SPs. Supervised and unsupervised classification experiments have shown that this approach was able to automatically identify groups of surgeons according to their level of expertise (senior and junior), and opens many perspectives for the creation of new metrics for comparing and evaluating surgeries.