CS793: Health Informatics II: Application Domains



Meetings will take place once per week in MC2036
Monday 1600-1850hrs (4:00pm-6:50pm)



Primary Texts:

Secondary Readings:

(see table below)



weekDateSpeakerTopicPresenterResearch papers(s)Related readings
1Jan 10JesseAssistive Technologies (slides)
2Jan 17JesseProbability, Bayesian Networks and Diagnosis (slides)Jesse (slides) (critique) J. Wu, A. Osuntogun, T. Choudhury, M. Philipose, J. Rehg A Scalable Approach to Activity Recognition based on Object Use IEEE Int. Conf. on Computer Vision (ICCV 2007) (2007), pp. 1-8.
3Jan 24*Ming LiBioinformaticsRaymondLi Zhang, Aidong Zhang and Murali Ramanathan VizStruct: exploratory visualization for gene expression profiling Bioinformatics (2004) 20 (1): 85-92.
4Jan 31Karim KeshavjeePrivacy, Data Quality, EMRAymanWendy W. Chapmana, Lee M. Christensenb, Michael M. Wagnera, Peter J. Haugb, Oleg Ivanova, John N. Dowlinga, Robert T. Olszewskia Classifying free-text triage chief complaints into syndromic categories with natural language processingAI in Medicine Vol. 33 Issue 1. Pages 33-40. January 2005. Local PDF copy available here
5Feb 7Jeff OrchardMedical Image ProcessingMiriamMarwa N. Muhammada, Daniela S. Raicub, Jacob D. Furstb, Ekarin Varutbangkulb Texture versus Shape Analysis for Lung Nodule Similarity in Computed Tomography Studies Medical Imaging 2008: PACS and Imaging Informatics, edited by Katherine P. Andriole, Khan M. Siddiqui, Proc. of SPIE Vol. 6919, 69190I, (2008)
  • Shortliffe chapters 9, 18
  • Zitoval IVC 2003 is a survey of image registration (not just applied to medical imaging)
  • Maes TMI 1997 is one of the first medical imaging papers about registration using mutual information
  • VanLeemput TMI 1999 is a basic intro to medical imaging segmentation using clustering (estimation maximization)
  • Orchard TIP 2010 links registration and segmentation into a single framework
  • Warfield SK, Zou KH, and Wells WM. Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation. IEEE Trans Med Imaging 2004;23(7):903-21.
6Feb 14*Mathieu SinnHuman activity recognition in health careAndreVanLeemput TMI 1999
7Feb 21Reading week - no class
8Feb 28*Daniel HeoTelehealth and Telus HealthspaceAngelaShahriyar Amin and Priya Narasimhan TwitterJacket: An automated activity and health monitoring solution for the elderly Tech. Report, CyLab,CMU 2009
9March 7Paul StoleeUsing health information to enhance musculoskeletal rehabilitation for older persons. SlidesHadi
10March 14Ian McKillopPublic Health InformaticsHenryAn integrated machine learning approach to stroke prediction Aditya Khosla, Yu Cao, Cliff Chiung-Yu Lin, Hsu-Kuang Chiu, Junling Hu, Honglak Leey. KDD '10 Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining; ACM New York, NY, USA 2010
11March 21none
  1. Tariq
  2. Shehroz
  1. Jeremy Ginsberg, Matthew H. Mohebbi, Rajan S. Patel, Lynnette Brammer, Mark S. Smolinski & Larry Brilliant Detecting influenza epidemics using search engine query data Nature Vol 457, 19 Feb. 2009
  2. Chris Geib Problems with Intent Recognition for Elder Care AAAI Workshop on Automation as Caregiver, 2002.
12March 28none
  1. Seid
  2. Anup
  1. F Alagoz, A Calero Valdez et al From Cloud Computing to Mobile Internet, From User Focus to Culture and Hedonism The Crucible of Mobile Health Care and Wellness Applications ICPCA, 2010
  2. Courtney D. Corley, Diane J. Cook, Armin R. Mikler and Karan P. Singh Text and Structural Data Mining of Influenza Mentions in Web and Social Media Special Issue of Int. Journal of Environmental Research and Public Health 2010, 7(2), 596-615
11April 11Course Project Reports