Presentation of Data for Health Care Professionals

							          Data mining in Health Care Care
Spring 2010Data mining in Health




          Data mining is the process of finding useful patterns or correlations amongst data. These patterns,
          correlations and associations between data can provide information about the problem in study
          that can be transformed into knowledge.  Data mining techniques are largely used in different
          sectors of the economy and in particular in health care.

          Course Goals

          This short course “Data Mining Techniques in Health Care” will provide attendees with an
          introduction to the most used techniques in health care. Hands on materials will be provided so that
          attendees can continue to work on their own.

          Information

          Where: Center for applied Optimization facilities (University of Florida)

          When: March 22-23, 2010

          For Who: Professionals and Students that are working/studying or interested in Health Care.

          Certification: At the end of the course attendees will received a certificate of attendance issued by the
          Center for Applied Optimization.

          Course outline

          Data mining basic principles and definitions

                  What is data mining ?

                  Clustering

                  Classification (Supervised-Semi Supervised)

                  Biclustering

          Methods

              Principal Component Analysis (PCA)

              Fisher’s Linear Discriminant Analysis (LDA))

              K-means, K-Nearest Neighbor method (k-NNR)

              Spectral methods

              Hierarchical Clustering (HC)

              Support Vector Machines (SVM)

              Linear Regression Analysis (LRA)

          Applications

          Selected application from the area of Health Care will be discussed. Selected papers from literature
          will be distributed to the participants and there will be presentation of results and modern trends.



          Short Course Data mining in Health Care - Syllabus Spring 2010 	
Spring 2010   Data mining in Health Care




                                                    DAY 1 (March 22, 2010)

                       2:00-3:00 PM            Introduction (scope of course, what is data mining?, examples)

                                               1.   Main problems of data mining

                                               • clustering,

                                               • classification,
                       3:15-5:00 PM            • supervised,

                                               • unsupervised,

                                               • semi supervised

                                               2. Presentation of Matlab




                                                    DAY 2 (March 23, 2010)

                                               Presentation of methods and applications from Healthcare I
                       9:10-10:00 AM           (Statistical methods- Principal Component Analysis, Linear-
                                               Regression analysis)

                                               Presentation of methods and applications from Healthcare II
                      10:10-11:00 AM
                                               (Unsupervised learning)

                                               Presentation of methods and applications from Healthcare III
                      11:10-12:00AM
                                               (Supervised learning)

                      12:10-14:00 PM                                   Lunch brake

                      14:10-15:00 PM           Examples with Matlab

                      15:10- 16:00 PM          Statistical Validation of methods (k-fold, leave one out validation)

                      16:10-17:00 PM           Data mining software presentation




              Short Course Data mining in Health Care - Syllabus Spring 2010 
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