Search for tag: "health"

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…

2:45 – 4:00pm Panel – “Data-driven quantitative methods for improving efficiency, quality, and outcomes in healthcare delivery systems”Tarun Mohan Lal, Chief Analytics Officer…

Nisha Botchwey, Associate Professor, City and Regional Planning & Director , Healthy Places Lab College of Design | Georgia Institute of Technology Yao Xie, Associate Professor, Milton Stewart…

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,…

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…

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…

Health Systems: The Next Generation 2018 2:45 – 4:00pm PanelBridget Hurley, VP of Clinical and Regulatory | Evidation Health Jim McClelland, Executive Director for Drug Prevention, Treatment,…

1:15 – 2:15pm Rapid Fire Research PresentationsJennifer R DuBose, MS, Associate Director of the SimTigrate Design Lab, Principal Research Associate |Georgia Institute of Technology Danny…

1:00 – 1:15pm WelcomeDr. Pinar Keskinocak, Co-director, Center for Health and Humanitarian Systems | Georgia Institute of Technology William W. George Chair and Professor Milton Stewart School…

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…

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…

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,…

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,…

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…