Gregor Stiglic

Gregor Stiglic

Associate Professor and Head of Research Institute at Faculty of Health Sciences, University of Maribor

E-mail:
Office: +386 2 300 4731
Fax: +386 2 300 4747
Address: FZV UM, Zitna ulica 15, 2000 Maribor, Slovenia


Gregor Stiglic is a vice-dean for research, associate professor and head of Research Institute at the Faculty of Health Sciences, University of Maribor (FHS UM). He worked on numerous national and international projects in bioinformatics and healthcare informatics. Gregor was the co-founder of the Bioinformatics master study programme at the FHS UM in 2008. He also worked as a Visiting Researcher at Data Analysis and Biomedical Analytics (DABI) Center at Temple University (2012) and as a Visiting Assistant Professor at Shah Lab, Stanford School of Medicine, Stanford University (2013).
His research interests encompass machine learning techniques with application to healthcare. Specific areas of his technical interest include comprehensibility of predictive models, human interaction based classification, stability of feature selection algorithms, meta-learning and longitudinal rule discovery. His work was published in multiple conferences, journals and books. Gregor gave talks on his knowledge discovery in healthcare and bioinformatics research at renowned research institutions such as IBM T.J. Watson Research Center, Stanford University, University of Manchester, University of Edinburgh and University of Tokyo.
He served as a co-organizer of the series of Workshops on Data Mining for Medicine and Healthcare held in conjunction with SIAM SDM 2013 (Austin, TX, USA), 2014 (Philadelphia, PA, USA), 2015 (Vancouver, BC, Canada), 2016 (Miami, FL, USA) and 2017 (Houston, TX, USA). Gregor also served as a co-organizer of the series of Workshops on Data Mining for Medical Informatics held in conjunction with the American Medical Informatics Association (AMIA) Annual Symposiums in 2014 (Washington, DC), 2015 (San Francisco, CA) and 2016 (Chicago, IL). He also served as a program chair of the Analytics Track at the 2016 IEEE International Conference on Healthcare Informatics held in Chicago, IL.
Gregor is an associate editor of BMC Medical Informatics and Decision Making (Nature Springer), editorial board member of Artificial Intelligence in Medicine (Elsevier), PLoS ONE (Public Library of Science), Journal of Healthcare Informatics Research (Nature Springer) and has also served as a guest editor for Special Issue on Data Mining in Medicine and Healthcare in Data Mining and Knowledge Discovery journal (Nature Springer).


News

I will serve as a Publicity Chair at SIAM SDM 2018 that will be held in San Diego, CA from April 26th-28th.

On 31st May 2017 I will give a talk on our screening for diabetes predictive models at KU Leuven.

We are organizing a Workshop on Advanced Predictive Models in Healthcare @ AIME 2017 on 24th June 2017 .

I presented our work on predictive modelling in healthcare as one of the 17 speakers at the 2016 SEE Data Science Forum in Belgrade.


Recent Events

Organizer/Chair

Workshop on Advanced Predictive Models in Healthcare @ AIME 2017
IEEE Computer Based Medical Systems (IEEE CBMS 2017 - Publicity chair)
6th Workshop on Data Mining for Medicine and Healthcare @ SDM 2017
IEEE International Conference in Healthcare Informatics (IEEE ICHI 2016)
5th Workshop on Data Mining for Medicine and Healthcare @ SDM 2016
2nd Workshop on Data Mining for Medical Informatics: Predictive Analytics @ AMIA 2015
4th Workshop on Data Mining for Medicine and Healthcare @ SDM 2015
1st Workshop on Data Mining for Medical Informatics: Electronic Phenotyping @ AMIA 2014
3rd Workshop on Data Mining for Medicine and Healthcare @ SDM 2014
2nd Workshop on Data Mining for Medicine and Healthcare @ SDM 2013

Program Committee Member

2017: AIME 2017, IEEE Big Data 2017, Medinfo 2017, IEEE ICHI 2017
2016: IEEE ICHI 2016, IWPRHA@ICPR 2016, ETC 2016, MAHA@BCB 2016
2015: BIGCHat@KDD2015, AIME 2015, ECML PKDD 2015, IEEE ICHI 2015
2014: IEEE ICHI 2014, BigCHat@KDD 2014, PRIB 2014, IWPRHA@ICPR 2014
2013 and earlier: PRIB 2013, PASTH 2012, eHealth 2011, IEA-AIE 2010


Selected Publications
(more publications available from DBLP, COBISS or Google Scholar)

Journal Papers

STIGLIC, Gregor, KOCBEK, Primoz, FIJACKO, Nino, SHEIKH, Aziz, and PAJNKIHAR Majda. "Challenges associated with missing data in electronic health records: a case study of a risk prediction model for diabetes using data from Slovenian primary care." Health Informatics Journal, 2017. [Pre-print PDF] [SAGE link]

BRZAN POVALEJ, Petra, OBRADOVIC Zoran, and STIGLIC Gregor. "Contribution of temporal data to predictive performance in 30-day readmission of morbidly obese patients." PeerJ 5 (2017): e3230. [Open Access]

STIGLIC, Gregor, FIJACKO, Nino, STOZER, Andraz, SHEIKH, Aziz, and PAJNKIHAR Majda. "Validation of the Finnish Diabetes Risk Score (FINDRISC) questionnaire for undiagnosed type 2 diabetes screening in the Slovenian working population." Diabetes Research and Clinical Practice, 2016, 120:194-197. [PDF]

FELDMAN, Keith, STIGLIC Gregor, DASGUPTA Dipanwita, KRICHEFF Mark, OBRADOVIC Zoran, & CHAWLA Nitesh. Insights into Population Health Management Through Disease Diagnoses Networks. Nature Scientific Reports, 2016, 6:30465. [Open Access]

STIGLIC, Gregor, BRZAN POVALEJ Petra, FIJACKO, Nino, FEI, Wang, DELIBASIC Boris, KALOUSIS, Alexandros, OBRADOVIC, Zoran. Comprehensible Predictive Modeling Using Regularized Logistic Regression and Comorbidity Based Features. PLoS one, ISSN 1932-6203, 2015, vol. 10, no. 12. [Open Access]

CALLAHAN, Alison, PERNEK, Igor, STIGLIC, Gregor, LESKOVEC, Jure, STRASBERG, Howard, SHAH, Nigam. Analyzing information seeking and drug-safety alert response by health care professionals as ew methods for surveillance. Journal of medical internet research, ISSN 1438-8871, 2015, vol. 17, no. 8. [Open Access]

PERNEK, Igor, KURILLO, Gregorij, STIGLIC, Gregor, BAJCSY, Ruzena. Recognizing the intensity of strength training exercises with wearable sensors. Journal of biomedical informatics, ISSN 1532-0480, 2015, vol. 58, no. dec., str. 145-155. [PDF]

STIGLIC, Gregor, PAJNKIHAR, Majda. Evaluation of major online diabetes risk calculators and computerized predictive models. PLoS one, ISSN 1932-6203, 2015, vol. 10, no. 11. [Open Access]

HROVAT, Goran, FISTER, Iztok, YERMAK, Katsiaryna, STIGLIC, Gregor, FISTER, Iztok. Interestingness measure for mining sequential patterns in sports. Journal of intelligent & fuzzy systems, ISSN 1064-1246, 2015, vol. 29, iss. 5, 1981-1994. [PDF]

HROVAT, Goran, STIGLIC, Gregor, KOKOL, Peter, OJSTERSEK, Milan. Contrasting temporal trend discovery for large healthcare databases. Computer methods and programs in biomedicine, ISSN 0169-2607, 2014, vol. 113. iss. 1, 251-257. [PDF]

STIGLIC, Gregor, KOKOL, Peter. Discovering subgroups using descriptive models of adverse outcomes in medical care. Methods of information in medicine, ISSN 0026-1270, 2012, vol. 51, no. 4, 348-352. [PDF]

STIGLIC, Gregor, KOCBEK, Simon, PERNEK, Igor, KOKOL, Peter. Comprehensive decision tree models in bioinformatics. PloS one, ISSN 1932-6203, 2012, vol. 7, iss. 3. [PDF]

KOKOL, Peter, POHOREC, Sandi, STIGLIC, Gregor, PODGORELEC, Vili. Evolutionary design of decision trees for medical application. Wiley interdisciplinary reviews, Data mining and knowledge discovery. [Print ed.], May 2012, vol. 2, iss. 3, 237-254.[PDF]

KOCBEK, Simon, SAETRE, Rune, STIGLIC, Gregor, KIM, Jin-Dong, PERNEK, Igor, TSURUOKA, Yoshimasa, KOKOL, Peter, ANANIADOU, Sophia, TSUJII, Jun-ichi. AGRA: analysis of gene ranking algorithms. Bioinformatics, ISSN 1367-4803, 2011, vol. 27, no. 8, 1185-1186.[PDF]

STIGLIC, Gregor, BAJGOT, Mateja, KOKOL, Peter. Gene set enrichment meta-learning analysis: next-generation sequencing versus microarrays. BMC bioinformatics, ISSN 1471-2105, 2010, vol. 11:176.[PDF]

STIGLIC, Gregor, KOKOL, Peter. Stability of ranked gene lists in large microarray analysis studies. Journal of Biomedicine and Biotechnology, ISSN 1110-7251, 2010.[PDF]

STIGLIC, Gregor, RODRIGUEZ, Juan J., KOKOL, Peter. Finding optimal classifiers for small feature sets in genomics and proteomics. Neurocomputing, ISSN 0925-2312, 2010, vol. 73, 2346-2352.[PDF]

KRIZMARIC, Miljenko, VERLIC, Mateja, STIGLIC, Gregor, GRMEC, Stefek, KOKOL, Peter. Intelligent analysis in predicting outcome of out-of-hospital cardiac arrest. Computer methods and programs in biomedicine, ISSN 0169-2607, 2009, vol. 95, no. Suppl. 1, S22-S32.[PDF]

STIGLIC, Gregor, MERTIK, Matej, KOKOL, Peter, PIGHIN, Maurizio. Detecting fault modules using bioinformatics techniques. International journal of software engineering and knowledge engineering, ISSN 0218-1940, 2007, vol. 17, no. 1, 153-165.[PDF]


Conference and Workshop Papers

ODGERS, David J., HARPAZ, Rave, CALLAHAN, Alison, ŠTIGLIC, Gregor. Analyzing search behavior of healthcare professionals for drug safety surveillance. In: PSB 2015 online proceedings, Kohala Coast, Hawaii, USA, 4 - 8 January 2015, pp. 306-317. [PDF]

STIGLIC, Gregor, FEI, Wang, DAVEY, Adam, OBRADOVIC, Zoran. Readmission Classification Using Stacked Regularized Logistic Regression Models. In: 2014 AMIA Annual Symposium, 15-19 November 2014, Washington, DC., pp. 1072-1081. [PDF]

STIGLIC, Gregor, DAVEY, Adam, OBRADOVIC, Zoran. Temporal evaluation of risk factors for acute myocardial infarction readmissions. In: 2013 IEEE International Conference on Healthcare Informatics, 9-11 September 2013, Philadelphia, PA, USA. New York: CPS, 2013, pp. 557-562. [PDF]

PERNEK, Igor, STIGLIC, Gregor, KOKOL, Peter. How hard am i training? Using smart phones to estimate sport activity intensity. In: 32nd International Conference on Distributed Computing Systems, 18-21 June 2012, Macau, China. ICDCSW 2012, (Proceedings, ISSN 1545-0678, CFP1228C-CDR). [s.l.]: IEEE Computer Society, cop. 2012, pp. 65-68. [PDF]

STIGLIC, Gregor, PERNEK, Igor, KOKOL, Peter, OBRADOVIC, Zoran. Disease prediction based on prior knowledge. In: KDD 2012. New York: ACM, 2012.[PDF]

STIGLIC, Gregor, KOKOL, Peter. Interpretability of sudden concept drift in medical informatics domain. In: 11th IEEE International Conference on Data Mining Workshops, 11 December 2011, Vancouver, Canada. SPILIOPOULOU, Myra (ed.), et al. ICDMW 2011. Los Alamitos; Washington; Tokyo: CPS: IEE Computer Society, cop. 2011, 609-613. [PDF]

STIGLIC, Gregor. Human disease network guided discovery of interesting itemsets in hospital discharge data. In: KDD-2011. New York: ACM, 2011. [PDF]

KOCBEK, Simon, STIGLIC, Gregor, PERNEK, Igor, KOKOL, Peter. Stability of different feature selection methods for selecting protein sequence descriptors in protein solubility classification problem. In: DILLON, Tharam (ed.). Proceedings of the 23rd IEEE International Symposium on Computer-Based Medical Systems CBMS 2010, October 12-15, 2010 Perth, Australia. Piscataway: IEEE, 2010, 50-55. [PDF]

STIGLIC, Gregor, KOCBEK, Simon, KOKOL, Peter. Unsupervised variance based preprocessing of microarray data. In: 2009 22nd IEEE International Symposium on Computer-Based Medical Systems (CBMS), Albuquerque, New Mexico, USA, Avgust 3-4, 2009, (Proceedings - IEEE Symposium on Computer-Based Medical Systems, ISSN 1063-7125). Piscataway: IEEE, 2009. [PDF]

STIGLIC, Gregor, RODRIGUEZ, Juan J., KOKOL, Peter. Feature selection and classification for small gene sets. In: CHETTY, Madhu (ed.), NGOM, Alioune (ed.), AHMAD, Shandar (ed.). Pattern recognition in bioinformatics : third IAPR international conference, PRIB 2008, Melbourne, Australia, October 15-17, 2008 : proceedings, (Lecture notes in computer science, ISSN 0302-9743, Lecture notes in bioinformatics, 5265), (LNCS sublibrary, SL 8, Bioinformatics). Berlin; New York: Springer, cop. 2008, 121-131. [PDF]

STIGLIC, Gregor, KOKOL, Peter. Effectiveness of rotation forest in meta-learning based gene expression classification. In: Twentieth IEEE International Symposium on Computer-Based Medical Systems, 20-22 June 2007, Maribor, Slovenia. KOKOL, Peter (ed.), et al. Proceedings, (Proceedings - IEEE Symposium on Computer-Based Medical Systems, ISSN 1063-7125). Los Alamitos (CA); Washington; Tokyo: IEEE Computer Society, cop. 2007, 243-248. [PDF]

STIGLIC, Gregor, KHAN, Nawaz, VERLIC, Mateja, KOKOL, Peter. Gene expression analysis of leukemia samples using visual interpretation of small ensembles : a case study. In: RAJAPAKSE, Jagath Chandana (ed.), SCHMIDT, Bertil (ed.), VOLKERT, Gwenn (ed.). Pattern recognition in bioinformatics : second IAPR international workshop, PRIB 2007, Singapore, October 1-2, 2007, (LNCS sublibrary, SL 8, Bioinformatics), (Lecture notes in computer science, ISSN 0302-9743, Lecture notes in bioinformatics, 4774). Berlin; New York: Springer, 2007, vol. 4774, 189-197. [PDF]

STIGLIC, Gregor, KOKOL, Peter. Evolutionary tuning of combined multiple models. In: 10th international conference, KES 2006, Bournemouth, UK, October 9-11, 2006. Knowledge-based intelligent information and engineering systems : proceedings, (Lecture notes in computer science, ISSN 0302-9743, 4251, 4252, 4253), (Lecture notes in artifical intelligence). Berlin: Springer, 2006, part 3, 1297-1304. [PDF]

STIGLIC, Gregor, MERTIK, Matej, PODGORELEC, Vili, KOKOL, Peter. Using visual interpretation of small ensembles in microarray analysis. In: Nineenth IEEE symposium on computer-based medical systems [also] CBMS 2006, 22-23 June, 2006, Salt Lake City, Utah. LEE, D. J. (ed.). Proceedings, (Proceedings - IEEE Symposium on Computer-Based Medical Systems, ISSN 1063-7125). Los Alamitos: IEEE Computer society, 2006, pp. 691-695. [PDF]


Book Chapters and Sections

STIGLIC, Gregor. Gene set enrichment meta-learning analysis. In: SEEL, Norbert M. (ed.). Encyclopedia of the sciences of learning. New York: Springer, 2012, 1344-1346.[Link]

STIGLIC, Gregor, RODRIGUEZ, Juan J., KOKOL, Peter. Rotation of random forests for genomic and proteomic classification problems. In: ARABNIA, Hamid R. (ed.), TRAN, Quoc-Nam (ed.). Software tools and algorithms for biological systems, (Advances in experimental medicine and biology, ISSN 0065-2598, Vol. 696). New York: Springer, 2011, 211-221[PDF]

POVALEJ, Petra, VERLIC, Mateja, STIGLIC, Gregor. Discovery systems. In: MEYERS, Robert A. (ed.). Encyclopedia of complexity and systems science. New York: Springer, 2009, vol. 2, 1982-2002. [PDF]

STIGLIC, Gregor, KHAN, Nawaz, KOKOL, Peter. Knowledge extraction from microarray datasets using combined multiple models to predict leukemia types. In: LIN, Tsau Y. (ed.), XIE, Ying (ed.), WASILEWSKA, Anita (ed.). Data mining : foundations and practice, (Studies in computational intelligence, ISSN 1860-949X, vol. 118). Berlin; London: Springer, 2008, 339-352. [PDF]

STIGLIC, Gregor, VERLIC, Mateja, KOKOL, Peter. Software agents. V: AKAY, Metin (ed.). Wiley encyclopedia of biomedical engineering. Hoboken: Wiley-Interscience, 2006, vol. 5, 3277-3285. [PDF]


Invited Talks

"Intelligent Data Analysis for Hospital Discharge Data"Aug 2012

Stanford Center for Biomedical Informatics Research, Stanford University, Palo Alto, CA, USA

"Knowledge Discovery from Hospital Discharge Data"Jul 2012

IBM T.J. Watson Research Center, Hawthorne, NY, USA

"Intelligent data analysis in biomedical fields"Nov 2009

Tsujii Lab, University of Tokyo, Tokyo, Japan

"Intelligent Systems in Gene Expression Analysis"Sep 2008

University of Madeira, Funchal, Portugal



Education

University of Maribor, Slovenia

PhD, Computer Science, April 2008
BSc, Informatics, May 2003


Work Experience

ResearcherApr 2008 - Present

Research Institute, Faculty of Health Sciences, University of Maribor, Slovenia.

  • Predicting patient’s future health state: Development and deployment of fast, effective, and interpretable algorithms for healthcare (PI together with Alexandros Kalousis and Boris Delibasic)
  • Comprehensibility of Predictive Models in Medicine - Bilateral Project SLO-USA with Zoran Obradovic
  • AGRA (Analysis of Gene Ranking Algorithms), http://agra.fzv.uni-mb.si
  • GEMLeR (Gene Expression Machine Learning Repository), http://gemler.fzv.uni-mb.si
  • PRIMER-ICT (Promoting the improvement of elderly ICT skills and well being by inter-generational and multi-sectoral education), http://www.primerict.eu
  • GEROM (Joint development of online gerontological master degree programme), http://www.gerom.net
  • OPT-in (Older People and Technological Innovations), http://www.opt-in.si
  • Stability measures of gene ranking lists (Microarrays and RNA-Seq)
  • Application of Rotation Forest algorithm in bioinformatics

Visiting Assistant ProfessorJul 2013 - Aug 2013

Shah Lab, Stanford Center for Biomedical Informatics Research, Stanford School of Medicine, Stanford University, Stanford, CA, USA.

Visiting ResearcherSep 2012 - Dec 2012

Center for Data Analytics and Biomedical Informatics, Temple University, Philadelphia, PA, USA.

Assistant ProfessorDec 2008 - Oct 2013

Faculty of Health Sciences, University of Maribor, Slovenia.

Project Coordinator, ResearcherJan 2004 - Dec 2006

Center for Interdisciplinary and Multidisciplinary Research and Studies of University of Maribor.

  • Coordination and work on national project MAGSIS (Multi-Agent Systems in Slovenia)
  • Research projects in e-learning
  • Managing the proposal phase of different EU Projects

Young ResearcherOct 2003 - Mar 2008

Laboratory for System Design, Faculty of electrical engineering and computer science, University of Maribor, Slovenia.

  • Application of machine learning algorithms in medicine and software reliability
  • Application of Combined Multiple Models in genomics and proteomics
  • Agent based machine learning
  • Empirical evaluation of classifier ensembles

DeveloperOct 1999 - Oct 2003

iFace d.o.o., Maribor, Slovenia (Subsidary of iFace AG, Olten, Switzerland, after acqisition from Sigma AB in 2001 the company name changed to Sigma iFace AG).

  • Web application development for financial and insurance sector (end-users like UBS, Generali, Swisscom, ...)
  • Voice based software solutions


Honors and Awards
  • Faculty of Health Sciences, UM - Outstanding Teaching and Research Achievements Award for Young TeachersMay 2013

  • University of Maribor - Exceptional Achievements in Teaching and Scientific Research (Bronze Award)October 2012

  • National "Young Researcher" Grant (PhD scholarship)Oct 2003 - Mar 2008

  • IEEE Region 8 Local Competition - Best Student Paper AwardSep 2003