Cho, M., Song, M.*, Park, J., Yeom, S.-R., Wang, I.-J., Choi, B.-K, “Process Mining-Supported Emergency Room Process Performance Indicators“. International Journal of Environmental Research and Public Health, 2020, 17, 6290, DOI:10.3390/ijerph17176290, August 2020
Park, G., Song, M.,
“Predicting Performances in Business processes using Deep Neural Networks” Decision Support Systems, accepted for publication, 2019. https://doi.org/10.1016/j.dss.2019.113191
Cho, M., Kim, K., Lim, J., Baek, H., Kim, Hwang, H., Song, M., Yoo, S.,
“Matching Rate-based Clinical Pathway Discovery from Electronic Health Records: The Cases of Total Laparoscopic Hysterectomy and Rotator Cuff Tears” International Journal of Medical Informatics, accepted for publication, https://doi.org/10.1016/j.ijmedinf.2019.104015, 2019.
Our paper entitled “Developing Process Performance Indicators for Emergency Room Processes” was presented at the The 2nd International Workshop on Process-Oriented Data Science for Healthcare 2019 (PODS4H19) that is organized in conjunction with the International Conference on Business Process Management (BPM 2019) in Vienna on September 1-6, 2019.
Our paper entitled “Prediction-based Resource Allocation using LSTM and maximum flow and minimum cost algorithm” was presented at the International Conference on Process Mining 2019 in Germany.
“其次는 致曲이니, 曲能有誠하면 誠則形하고, 形則著하면 著則明하고, 明則動하고, 動則變하고, 變則化하니, 唯天下에 至誠이라야 為能化이니라.”
RISE-BPM 공동 연구를 위해서 2017년 1월 16일에서 2월 3일까지 University of Seville를 방문하였습니다.