Building Smart Healthcare Applications on AWS

The AWS Big Data Meetup brings Big Data developers and enthusiasts together to discuss Big Data solutions with each other and AWS team members. You will hear speakers from AWS and the wider community who are pushing the boundaries of Big Data. We are committed to maintaining a technical focus, and invite you to participate as a guest or as a speaker. There will be food and plenty of time for one-on-one conversations.

Using Amazon Machine Learning to Predict Patient Readmission

In this talk, you will learn about building smart healthcare applications with AWS and the Amazon Machine Learning Service. The presentation will focus on a common problem faced by the healthcare industry, reducing patient readmissions.

We will review a basic architecture for machine learning on AWS. This will include the use of Amazon Redshift as a data warehouse, Amazon Machine Learning to generate a model for producing patient risk scores, and will wrap up by showcasing how easy it is to make this model actionable with Amazon S3 static website hosting.

See the following AWS Big Data blog post for a preview of the talk:

Readmission Prediction Through Patient Risk Stratification Using Amazon Machine Learning (http://blogs.aws.amazon.com/bigdata/post/Tx1Z7AR9QTXIWA1/Readmission-Prediction-Through-Patient-Risk-Stratification-Using-Amazon-Machine)

Chris Crosbie, is a Solutions Architect with AWS and a statistician by training.

Oncoscape (https://aws.amazon.com/blogs/aws/building-bridges-for-better-cancer-treatment-with-the-fred-hutchinson-cancer-research-center/), an open-source web application used to apply and develop analysis tools for molecular and clinical data

Lisa McFerrin, PhD, Bioinformatics is a Project Manager for Seattle Translational Tumor Research at Fred Hutchinson Cancer Research Center. She will speak about Oncoscape (https://aws.amazon.com/blogs/aws/building-bridges-for-better-cancer-treatment-with-the-fred-hutchinson-cancer-research-center/), an open-source web application used to apply and develop analysis tools for molecular and clinical data. Oncoscape enables researchers to discover new patterns and relationships to advance cancer research.

Hang out after the talks for conversations and refreshments.

Driving Directions:

From I-5 Northbound:

Take exit 166 to merge onto Olive Way.Turn right onto Melrose Ave. Take the 2nd right onto Pine St. Turn right onto[masked]th Ave. will be on the left.

From I-5 Southbound:

Take exit 166 for Stewart St. toward Denny Way. Merge onto Stewart St.Turn right onto 8th Ave. 2001 8th Ave. will be on the left.