Search for tag: "health data"

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  Kathryn Gentilello 3 Weeks ago 1 views 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  Kathryn Gentilello A month ago 3 views 0  

2019 SBDH All Hands Meeting - Panel 3: Industry Panel

Beverly Wright, PhD. Chief Analytics Officer, RelationalAI. Venkat Kambalapally. Staff Vice President, Technology, Anthem, Inc. Robert Joseph, PhD. Director of Industrial Strategy, Stanley Black…

From  Kathryn Gentilello A month ago 2 views 0  

2019 SBDH All Hands Meeting - Cyber-Infrastructure and Social-Cybersecurity Working Groups

Cyber-Infrastructure Working Group: Niall Gaffney, PhD. Director of Data Intensive Computing, Office of Advanced Cyberinfrastructure / CISE. Texas Advanced Computing Center. Social-Cybersecurity…

From  Kathryn Gentilello A month ago 3 views 0  

2019 SBDH All Hands Meeting - Panel 2: Visionary Projects

Gari Clifford, PhD. Spoke PI, Large Scale Medical Informatics for Patient Care Coordination and Engagement. Emory University. Santiago Grijalva, PhD. Spoke Co-PI, Smart Grids Big Data. Georgia Tech.…

From  Kathryn Gentilello A month ago 3 views 0  

2019 SBDH All Hands Meeting - Panel 1: South Hub Priority Areas

Jay Aikat, PhD. Co-PI, South Big Data Regional Innovation Hub – University of North Carolina-Chapel Hill. David McDowell, PhD. Priority Area Representative Georgia Tech. Heather Bradley, PhD.…

From  Kathryn Gentilello A month ago 2 views 0  

Chaouki T. Abdallah, Srinivas Aluru, Stan Ahalt, Renata Rawlings-Goss - Welcome Remarks and South Hub Impacts and Opportunities

The SBDH All Hands meetings are organized to bring together the SBDH community in order to foster new and support existing data science collaborations, share best practices and resources for data and…

From  Kathryn Gentilello A month ago 4 views 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  Kathryn Gentilello 3 Months ago 57 views 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  Kathryn Gentilello 6 Months ago 7 views 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  Kathryn Gentilello 6 Months ago 7 views 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  Kathryn Gentilello 6 Months ago 3 views 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 A year ago 28 views 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 A year ago 17 views 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  Kathryn Gentilello A year ago 62 views 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 A year ago 64 views 0