Center for Heath Analytics and Informatics Seminar Series
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Recent Submissions
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Automation of Evidence Matching and Systemic Reviews Using Web-Based Medical Literature
(2020-02-25)Mining biomedical text can be useful for validating new disease subgroups or summarizing information to guide policies and decision making. Yet, existing work predominately focuses on efficient information retrieval. There ... -
Epidemiology and Population Health
(2019-04-18)This talk will discuss the principles of epidemiologic thinking and a foundation for population health sciences. Basic epidemiologic concepts including how best to answer a scientific question, consider causality, and ... -
Scalable Graph Analytics on GPU Accelerators
(2019-04-16)Sparse data computations are ubiquitous in science and engineering. Two widely used applications requiring sparse data computations are graph algorithms and linear algebra operations such as Sparse Matrix-Vector Multiplication ... -
Deep Learning for Healthcare: Opportunities, Innovations, and Challenges
(2019-01-24)The massive generation and collection of digitized health data, e.g. electronic health records (EHRs), along with these notable, longstanding healthcare deficiencies including diagnostic errors and medication mistakes are ... -
Causal Network Discovery from Biomedical and Clinical Data
(2018-04-05)This talk will provide an introduction to concepts and methods for learning causal relationships in the form of causal networks from biomedical and clinical data, including solely observational data. Examples will be given ... -
Translating from Chemistry to Clinic with Deep Learning: Modeling the Metabolism and Subsequent Reactivity of Drugs
(2018-04-12)Many medicines become toxic only after bioactivation by metabolizing enzymes. Often, metabolic enzymes transformed them into chemically reactive species, which subsequently conjugate to proteins and cause adverse events. ... -
How Do We Accelerate Data Driven Health Care?
(2018-04-19)By driving the digitization of healthcare data, the 2009 HITECH Act set the stage for business and business practice transformation. Today, the amount of healthcare data doubles every two years and growth is accelerating. ... -
Big Data in Behavioral Medicine
(2018-03-06)The explosion of health-related data in the form of electronic health records and genomics has captured the attention of both the machine learning and medical informatics communities. In his talk, Dr. Rehg will describe ... -
Machine Learning from Irregularly-Sampled Temporal Data: A Case Study in Predicting Across Most Diseases in Electronic Health Records
(2018-02-27)Much of the world’s real data on people is irregularly-sampled, temporal, and observational (meaning we don’t get to experiment as in a randomized clinical trial). For example, customers make purchases on various dates ... -
Unsupervised Phenotyping using Tensor Factorization
(2018-02-20)How can we distill multiple aspects of raw and noisy electronic health record data, such as diagnoses, medications and procedures, to a few concise clinical states without human-annotated labels? In this talk, we present ... -
Using Electronic Health Records to Support Patient Care and Clinical Research
(2018-01-30)Electronic health records (EHR) contains rich clinical phenotype information. In this talk, I will present methods and early results from two projects to demonstrate the potential of using EHR data to facilitate precision ... -
Predicting Hospital Readmissions Among Kidney Transplant Recipients
(2018-02-13)More than half of kidney transplant recipients are rehospitalized in the year after kidney transplantation, placing a large burden on the hospital system and placing patients at higher risk for poor health outcomes, including ... -
Precision Medicine at Georgia Tech: Introduction to the Health Data Analytics Platform
(Georgia Institute of Technology, 2018-02-06)Conducting health research is complex, from accessing health data to running analytics to building interoperable applications. The Georgia Tech Health Data Analytics Platform (HDAP) is designed to expedite the process of ...
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