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Presentations

Kim, Yoonsang. (2015, Nov. 10) Statistical Getting Started with Probabilistic Topic Models [PDF of PowerPoint slides]. Institute for Health Research and Policy, University of Illinois at Chicago.

A topic model is an unsupervised machine learning technique. Probabilistic topic modeling is used to discover the themes in a large unstructured collection of documents by analyzing the words in documents. The talk focused on the simple topic model, latent Dirichlet allocation. 

View Dr. Kim's presentation. (PDF) 

Health researchers at all levels, including postdoctoral investigators and doctoral students designing their... more

Reinforcement Pathology of Obesity

Epstein, Leonard H. (2015, Nov. 5) Lead Foot and Worn Brakes: Reinforcement Pathology of Obesity [PDF of PowerPoint slides]. Institute for Health Research and Policy, University of Illinois at Chicago.

Obesity is characterized by a strong motivation to eat and difficulties in delaying gratification. Reinforcement pathology is a theoretical approach combining food reinforcement and delay discounting to better understand the origins of obesity and new treatment opportunities. The interaction of these two factors in obesity will be discussed, as well as new treatment approaches to reduce food reinforcement and improve the ability to delay... more

What Works and What Doesn't

Fitzgibbon, Marian. (2015, March 18) Obesity Interventions in Underserved Populations: What Works and What Doesn't [PDF of PowerPoint slides]. Institute for Health Research and Policy, University of Illinois at Chicago.

This talk by Dr. Marian Fitzgibbon focused on lessons learned from obesity prevention and treatment interventions with minority and underserved populations.

View Dr. Marian Fitzgibbon's presentation slides. (PDF) 

Kim, Yoonsang. (2015, March 10). Simple "Machines" for Learning and Predicting [PDF of PowerPoint slides]. Institute for Health Research and Policy, University of Illinois at Chicago.

Data mining and predictive analytics are getting attention thanks to "Big Data". In this talk, you will learn from the data in hand how to make predictions with given information, using basic machine learning classifiers: logistic regression, naïve bayes, and support vector machines. This talk will also cover how unstructured text data are analyzed using these methods.

View Dr. Kim's presentation. (PDF... more

Kim, Hajwa. (2015, February 10). What REDCap Can Do for a Multisite Study. Institute for Health Research and Policy, University of Illinois at Chicago.

REDCap is offered as a free service to UIC investigators, faculty, and staff by the Design and Analysis Core of the Center for Clinical and Translational Science, which is supported by the National Center for Advancing Translational Sciences of the National Institutes of Health, through Grant UL1TR000050. This talk will introduce features of REDCap (Research Electronic Data Capture) that can be used for multisite studies, including field validation/branching options, user access rights, and... more

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