Gang Luo, PhD

Research Interests

  • Natural Language Processing
  • Knowledge Management
  • Decision Support Techniques
  • Information Storage and Retrieval
  • Health Informatics
  • Machine Learning Artificial Intelligence
  • Databases
  • Data Mining

Languages

  • Chinese
  • English

Academic Information

  • Departments: Biomedical Informatics - Adjunct Assistant Professor

Academic Office Information

  • 801-213-3565
  • Biomedical Informatics (Suite 140)
    421 Wakara Way, Room: 2004 of Suite 208
    Salt Lake City, UT 84108

Academic Bio

Dr. Gang Luo earned his PhD degree in Computer Science with a minor in Mathematics from the University of Wisconsin-Madison. Dr. Luo is an assistant professor in the University of Utah’s Department of Biomedical Informatics. Dr. Luo's research interests include health/clinical informatics (software system design/development and data analytics), big data, information retrieval, database systems, machine learning, data mining, and natural language processing with a focus on health applications. He has more than 50 publications and over two dozen patents in these areas. He invented the questionnaire-guided intelligent medical search engine iMed, intelligent personal health record, and SQL and compiler progress indicators. He has also worked on brain-computer interface and EEG brain wave analysis.Following his PhD study, Dr. Luo worked as a research staff member at the IBM T.J.Watson Research Center, Hawthorne, NY (2004-2012). He joined the Department of Biomedical Informatics in August 2012 as an assistant professor.More information about Dr. Luo is available at: http://home.chpc.utah.edu/~gangluo/“As a computer scientist by training, as well as a self-educated mathematician, I choose to work on health informatics because of the large number of real problems in this area. I enjoy interacting with people from various areas and am interested in combining advanced computing techniques, mathematical theory, and healthcare knowledge. I believe this combination will lead to major advances in health informatics that will help improve people’s daily living.” Google Scholar: http://scholar.google.com/citations?user=4MEAIU4AAAAJ

Education History

Type School Degree
Doctoral Training University of Wisconsin-Madison
Computer Science Minor in Mathematics
Ph.D.
Undergraduate Shanghai Jiaotong University
Computer Science
B.S.

Global Impact

Education History

Type School Degree Country
Undergraduate Shanghai Jiaotong University
Computer Science
B.S. China

Selected Publications

Journal Article

  1. Predicting Appropriate Admission of Bronchiolitis Patients in the Emergency Department: Rationale and Methods.Luo G, Stone BL, Johnson MD, Nkoy FL (2016). Predicting Appropriate Admission of Bronchiolitis Patients in the Emergency Department: Rationale and Methods. JMIR Res Protoc, 5(1), e41.
  2. Automatically explaining machine learning prediction results: a demonstration on type 2 diabetes risk prediction.Luo G (2016). Automatically explaining machine learning prediction results: a demonstration on type 2 diabetes risk prediction. Health Inf Sci Syst, 4, 2.
  3. Efficient Execution Methods of Pivoting for Bulk Extraction of Entity-Attribute-Value-Modeled Data.Luo G, Frey LJ (2016). Efficient Execution Methods of Pivoting for Bulk Extraction of Entity-Attribute-Value-Modeled Data. IEEE J Biomed Health Inform, 20(2), 644-654.
  4. Using Computational Approaches to Improve Risk-Stratified Patient Management: Rationale and Methods.Luo G, Stone BL, Sakaguchi F, Sheng X, Murtaugh MA (2015). Using Computational Approaches to Improve Risk-Stratified Patient Management: Rationale and Methods. JMIR Res Protoc, 4(4), e128.
  5. Predicting asthma control deterioration in children.Luo G, Stone BL, Fassl B, Maloney CG, Gesteland PH, Yerram SR, Nkoy FL (2015). Predicting asthma control deterioration in children. BMC Med Inform Decis Mak, 15(1), 84.
  6. MLBCD: a machine learning tool for big clinical data.Luo G (2015). MLBCD: a machine learning tool for big clinical data. Health Information Science and Systems, 3, 3.
  7. A roadmap for designing a personalized search tool for individual healthcare providers.Luo G (2014). A roadmap for designing a personalized search tool for individual healthcare providers. J Med Syst, 38(2), 6.
  8. Open issues in intelligent personal health record - an updated status report for 2012.Luo G (2013). Open issues in intelligent personal health record - an updated status report for 2012. J Med Syst, 37(3), 9943.
  9. Automatic home medical product recommendation.Luo G, Thomas SB, Tang C (2012). Automatic home medical product recommendation. J Med Syst, 36(2), 383-98.
  10. Distance-constrained orthogonal Latin squares for brain-computer interface.Luo G, Min W (2012). Distance-constrained orthogonal Latin squares for brain-computer interface. J Med Syst, 36(1), 159-66.
  11. Intelligent personal health record: experience and open issues.Luo G, Tang C, Thomas SB (2012). Intelligent personal health record: experience and open issues. J Med Syst, 36(4), 2111-28.
  12. Triggers and monitoring in intelligent personal health record.Luo G (2012). Triggers and monitoring in intelligent personal health record. J Med Syst, 36(5), 2993-3009.
  13. Automatic home nursing activity recommendation.Luo G, Tang C (2009). Automatic home nursing activity recommendation. AMIA Annu Symp Proc, 2009, 401-5.
  14. Luo G (2009). Design and Evaluation of the iMed Intelligent Medical Search Engine. Proceedings / International Conference on Data Engineering, 2009, 1379-1390.
  15. Luo G, Tang C, Yang H, Wei X (2008). MedSearch: A Specialized Search Engine for Medical Information Retrieval. Proceedings of the ... ACM International Conference on Information & Knowledge Management, 2008, 143-152.
  16. Subject-adaptive real-time sleep stage classification based on conditional random field.Luo G, Min W (2007). Subject-adaptive real-time sleep stage classification based on conditional random field. AMIA Annu Symp Proc, 488-92.

Review

  1. A systematic review of predictive modeling for bronchiolitis.Luo G, Nkoy FL, Gesteland PH, Glasgow TS, Stone BL (2014). A systematic review of predictive modeling for bronchiolitis. [Review]. Int J Med Inform, 83(10), 691-714.

Conference Proceedings

  1. Luo G, Tang C (2008). On Iterative Intelligent Medical Search. Proc ACM SIGIR, 2008, 3-10.
  2. Luo G, Tang C, Tian Y (2007). Answering Relationship Queries on the Web. Proc WWW, 2007, 561-570.

Video