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Description: ​The first portion of the talk will be an introduction to the scope of Dr. Kamath's research interest and prior publications.  This will be followed by a discussion of several ongoing and potential future projects as related to hip and knee orthopedic care (including total joint arthroplasty and hip fracture).  Particular attention will be made to research questions surrounding health disparities, opioid use, obesity and patient optimization, and alternative payment models.   Speaker Bio: ​Atul Kamath, MD was recruited to the…

Speaker Bio: "Dr. Briggs is an Assistant Professor in the Department of Population and Quantitative Health Sciences, in the School of Medicine, at Case Western Reserve University. His doctoral research focused on characterizing risk components of autoimmune diseases (multiple sclerosis and rheumatoid arthritis) using robust analytical approaches incorporating parametric and non-parametric statistical methods (i.e. decision tree algorithms) to investigate genome-wide and candidate gene association studies. His post-doctoral training focused on exploring the environmental risk contribution and gene x environment (GxE)…

Description:  Multimorbidity and polypharmacy are common among older adults and associated with high expenditures and poor health. However, relatively little is known about the prevalence and outcomes of specific combinations of chronic disease and medications in the population.  Association rule mining (ARM) is a machine learning method for discovering frequent patterns and interesting relationships between variables. ARM is commonly used in market basket analysis and computational biology, but has rarely been applied to problems in epidemiology or health services research.…

Slides from this presentation can be found here.

Slides from this presentation can be found here.   Description: Dr. Li will talk about the different perspectives between traditional statistical modeling approaches and from machine learning approaches, their pros and cons.  He will describe a few deep learning examples in the medical literature.  Additionally, as another example, he will present ongoing work on deep learning prediction of chromatin conformation intensity using low-depth Hi-C data.   Bio:  Dr. Li received a PhD in Biostatistics in 2002 from the University of Michigan. Since…