Search for tag: "bioinformatics"

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 A month 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 2 Months ago 3 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 4 Months ago 64 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 19 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 67 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 65 views 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 A year ago 54 views 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  Kathryn Gentilello A year ago 142 views 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 A year ago 54 views 0  

SIAM_IP8_1:30pm_08/03/2017

IP8 Open Problems in Finite Frame Theory

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From  Anton Leykin A year ago 48 views 0