Search for tag: "center for health analytics and informatics (chai)"

Alaa Aljiffry - Big Data in Pediatric Cardiac ICU

From  Katie Gentilello 17 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  

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 14 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 201 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 37 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 22 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 427 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 275 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 163 plays 0  

Precision Medicine at Georgia Tech: Introduction to the Health Data Analytics Platform - Jon Duke

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…

From  Katie Gentilello 310 plays 0  

Predicting Hospital Readmissions Among Kidney Transplant Recipients - Rachel Patzer

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…

From  ADMIN 161 plays 0