Healthcare Analytics: Logistics

Healthcare Analytics: LogisticsTrần Thế TruyềnCenter for Pattern Recognition and Data AnalyticsDeakin University, AustraliaEmail: truyen.tran@deakin.edu.auURL: truyen.vietlabs.comHUST, VN, Dec 2013ProjectsMark: 80%Work in team of 3-4 members.Mixed skills are often the best combinationThe goal is to practice analytical skills in real-world projectsKaggle.comOr your own.Deadline: 19/01/2014Submission: written report + code + supplementary materials2Example: Health Heritage PrizeURL:  PrizeTask: Predict length-of-stay next year3A handy toolkitA good text editor with highlights and regexScripting languages: Perl/PythonMachine learning/statistics environments: Matlab/R/WEKA/SPSS/SASSpread sheet: ExcelLinux tools: shell/cat/grep/awkHandy scripts, your own libraryReporting/graphical toolsDatabase servers and frontendsApache Web server & PHP/CGI/Javascript programmingData visualizationUse a good text editor that can hold a lot of data (e.g., 1G)A few keyword searches may give a good understanding of the densityI use TextPad (again, personal bias)Spreadsheet helps (but can’t hold large data)Sort, simple statistics, columns selectionDatabase environments are good alternativesSimple histograms helpE.g., people either return right away, or get better then return later.Later goal: Visual analyticsSupporting resourcesTeach assistantCoursera courses:Interprofessional healthcare Informatics (Karen Monsen, Minnesota)Machine learning (Andrew Ng, Stanford)Computing for data analysis (Roger D. Peng, Johns Hopkins)Writing in the sciences (Kristin Sainani, Stanford)Probabilistic graphical models (Daphne Koller, Stanford)7More resources