Search for tag: "health"

Alaa Aljiffry - Big Data in Pediatric Cardiac ICU

From  Katie Gentilello 9 plays 0  

Joyce Ho - Automation of Evidence Matching and Systemic Reviews Using Web-Based Medical Literature

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…

From  Katie Gentilello 6 plays 0  

Data-driven quantitative methods for improving efficiency, quality, and outcomes in healthcare delivery systems

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…

From  Katie Gentilello 8 plays 0  

Health Systems: The Next Generation 2019 - Rapid Fire Research Presentations

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…

From  Katie Gentilello 11 plays 0  

Rachel Patzer - Epidemiology & Population Health

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,…

From  Katie Gentilello 11 plays 0  

Oded Green - Scalable Graph Analytics on GPU Accelerators

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…

From  Katie Gentilello 5 plays 0  

Joyce Ho - Building “Healthier” Tensor Models: A Case Study on learning computational phenotypes from EHRs

From  Katie Gentilello 18 plays 0  

Cao (Danica) Xiao - Deep Learning for Healthcare: Opportunities, Innovations, and Challenges

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…

From  Katie Gentilello 161 plays 0  

Bridget Hurley, Jim McClelland, Patrick O'Neal, Vivian Singletary, Tabia Henry Akintobi - Panel Discussion

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,…

From  Katie Gentilello 8 plays 0  

Jennifer R. DuBose, Danny Hughes, Omer T. Inan, Zihao Li, Mark Styczynski - Rapid Fire Research Presentations

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…

From  Katie Gentilello 8 plays 0  

Pinar Keskinocak - Welcome

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…

From  Katie Gentilello 5 plays 0  

CSE 6250 04-19-2018 - Buzz Stewart

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…

From  Desmond J Gardfrey 36 plays 0  

CSE 6250 Lecture - S. Joshua Swamidass, Washington University

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…

From  Desmond J Gardfrey 21 plays 0  

Big Data in Behavioral Medicine - James M. Rehg

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,…

From  Katie Gentilello 314 plays 0  

Machine Learning from Irregularly-Sampled Temporal Data: A Case Study in Predicting Across Most Diseases in Electronic Health Records - David Page

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,…

From  Desmond J Gardfrey 204 plays 0  

Unsupervised Phenotyping using Tensor Factorization - Ioakeim Perros

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…

From  Desmond J Gardfrey 129 plays 0