@inproceedings{54c16632a5824b09b1d8f6729484ce93,
title = "Evaluation of Trace Alignment Quality and its Application in Medical Process Mining",
abstract = "Trace alignment algorithms have been used in process mining for discovering the consensus treatment procedures and process deviations. Different alignment algorithms, however, may produce very different results. No widely-adopted method exists for evaluating the results of trace alignment. Existing reference-free evaluation methods cannot adequately and comprehensively assess the alignment quality. We analyzed and compared the existing evaluation methods, identifying their limitations, and introduced improvements in two reference-free evaluation methods. Our approach assesses the alignment result globally instead of locally, and therefore helps the algorithm to optimize overall alignment quality. We also introduced a novel metric to measure the alignment complexity, which can be used as a constraint on alignment algorithm optimization. We tested our evaluation methods on a trauma resuscitation dataset and provided the medical explanation of the activities and patterns identified as deviations using our proposed evaluation methods.",
keywords = "Evaluation, Process mining, Trace alignment, Trauma resuscitation",
author = "Moliang Zhou and Sen Yang and Xinyu Li and Shuyu Lv and Shuhong Chen and Ivan Marsic and Farneth, {Richard A.} and Burd, {Randall S.}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 5th IEEE International Conference on Healthcare Informatics, ICHI 2017 ; Conference date: 23-08-2017 Through 26-08-2017",
year = "2017",
month = sep,
day = "8",
doi = "10.1109/ICHI.2017.57",
language = "American English",
series = "Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "258--267",
editor = "Mollie Cummins and Julio Facelli and Gerrit Meixner and Christophe Giraud-Carrier and Hiroshi Nakajima",
booktitle = "Proceedings - 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017",
address = "United States",
}