1 |
Aalst, W. Van Der, Process Mining : Discovery, Conformance and Enhancement of Business Processes, Springer Verlag, Berlin, 2011.
|
2 |
Aljumah, A.A., Ahamad, M.G., and Siddiqui, M.K., Application of data mining : Diabetes health care in young and old patients, Journal of King Saud University-Computer and Information Sciences, 2013, Vol. 25, No. 2, pp. 127-136.
DOI
|
3 |
Bilge, U., Bozkurt, S., and Durmaz, S., Application of data mining techniques for detecting asymptomatic carotid artery stenosis, Computers and Electrical Engineering, 2013, Vol. 39, No. 5, pp. 1499-1505.
DOI
|
4 |
Homayounfar, P., Process mining challenges in hospital information systems, in Proceedings of the Federated Conference on Computer Science and Information Systems (FedCSIS), 2012, pp. 1135-1140.
|
5 |
Lavraca, N., Bohanec, M., Pur, A., Cestnik, B., Debeljak, M., and Kobler, A., Data mining and visualization for decision support and modeling of public health-care resources, Journal of Biomedical Informatics, 2007, Vol. 40, No. 4, pp. 438-447.
DOI
|
6 |
Mans, R.S., Schonenberg, M.H., Song, M., Aalst, W.M. P. van der, and Bakker, P.J.M., Application of Process Mining in Healthcare-A Case Study in a Dutch Hospital, International Joint Conference on Biomedical Engineering Systems and Technologies, 2008, pp 425-438.
|
7 |
Lee, J.W. and Giraud-Carrier, C., Results on mining NHANES data : A case study in evidence-based medicine, Computers in Biology and Medicine, 2013, Vol. 43, No. 5, pp. 493-503.
DOI
|
8 |
Lin, F.-R., Chou, S.-C., Pan, S.-M., and Chen, Y.-M., Mining time dependency patterns in clinical pathways, International Journal of Medical Informatics, 2001, Vol. 62, No. 1, pp. 11-25.
DOI
|
9 |
Mans, R.S., Schonenberg, M.H., Song, M., and Aalst, W.M.P. van der, Process mining in healthcare: a case study, in Proceedings of the First International Conference on Health Informatics, 2008, Madeira.
|
10 |
Mookiah, M.R.K., Acharya, U.R., Lim, C.M., Petznick, A., and Suri, J.S., Data mining technique for automated diagnosis of glaucoma using higher order spectra and wavelet energy features, Knowledge-Based Systems, 2012, Vol. 33, pp. 73-82.
DOI
|
11 |
National Trauma Data Bank, NTDB Research Data Set Admission Year 2010 User Manual, October 2011.
|
12 |
Santos, R.S., Malheiros, S.M.F., Cavalheiro, S., and Oliveira, J.M.P. de, A data mining system for providing analytical information on brain tumors to public health decision makers, Computer Methods and Programs in Biomedicine, 2013, Vol. 109, No. 3, pp. 269-282.
DOI
|
13 |
Rebuge, A. and Ferreira, D.R., Business process analysis in healthcare environments : A methodology based on process mining, Information Systems, 2012, Vol. 37, No. 2, pp. 99-116.
DOI
|
14 |
Rojas, E., Munoz-Gama, J., Sepulveda, M., and Capurro, D., Process mining in healthcare : A literature review, Journal of Biomedical Informatics, 2016, Vol. 61, pp. 224-236.
DOI
|
15 |
Rozinat, A., Disco User's Guide, fluxicon, 2019.
|
16 |
Yeh, J.-Y., Wu, T.-H., and Tsao, C.-W., Using data mining techniques to predict hospitalization of hemodialysis patients, Decision Support Systems, 2011, Vol. 50, No. 2, pp. 439-448.
DOI
|
17 |
Tsumoto, S., Iwata, H., Hirano, S., and Tsumoto, Y., Similarity-based behavior and process mining of medical practices, Future Generation Computer Systems, 2014, Vol. 33, pp. 21-31.
DOI
|
18 |
Yang, W.-S. and Hwang, S.-Y., A process-mining framework for the detection of healthcare fraud and abuse, Expert Systems with Applications, 2006, Vol. 31, No. 1, pp. 56-68.
DOI
|