Process-oriented Iterative Multiple Alignment for Medical Process Mining

no code implementations • 16 Sep 2017 • Shuhong Chen, Sen yang, Moliang Zhou, Randall S. Burd, Ivan Marsic

We applied PIMA to analyzing medical workflow data, showing how iterative alignment can better represent the data and facilitate the extraction of insights from data visualization.

Data Visualization

Progress Estimation and Phase Detection for Sequential Processes

no code implementations • 28 Feb 2017 • Xinyu Li, Yanyi Zhang, Jianyu Zhang, Yueyang Chen, Shuhong Chen, Yue Gu, Moliang Zhou, Richard A. Farneth, Ivan Marsic, Randall S. Burd

For the Olympic swimming dataset, our system achieved an accuracy of 88%, an F1-score of 0. 58, a completeness estimation error of 6. 3% and a remaining-time estimation error of 2. 9 minutes.

Activity Recognition Multimodal Deep Learning