Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY

Schedule: Healthcare sessions

9:00am5:00pm Tuesday, September 26, 2017
Location: 1A 06/07
Ben Lorica (O'Reilly), Assaf Araki (Intel), Jacob Schreiber (University of Washington), Alex Ratner (Stanford University), Madeleine Udell (Cornell University), Yunsong Guo (Pinterest), Katherine Heller (Duke University), Alan Nichol (Rasa), Gerard de Melo (Rutgers University), Tamara Broderick (MIT), Inbal Tadeski (Anodot), Daniel Kang (Stanford University), Bichen Wu (UC Berkeley), Shaked Shammah (Hebrew University)
A full day of hardcore data science, exploring emerging topics and new areas of study made possible by vast troves of raw data and cutting-edge architectures for analyzing and exploring information. Along the way, leading data science practitioners teach new techniques and technologies to add to your data science toolbox. Read more.
1:30pm5:00pm Tuesday, September 26, 2017
Artificial Intelligence
Location: 1A 12/14 Level: Intermediate
Josh Patterson (Patterson Consulting), Vartika Singh (Cloudera), Dave Kale (Skymind), Tom Hanlon (Functional Media)
Average rating: **...
(2.00, 1 rating)
Josh Patterson, Vartika Singh, David Kale, and Tom Hanlon walk you through interactively developing and training deep neural networks to analyze digital health data using the Cloudera Workbench and Deeplearning4j (DL4J). You'll learn how to use the Workbench to rapidly explore real-world clinical data, build data-preparation pipelines, and launch training of neural networks. Read more.
2:05pm2:45pm Wednesday, September 27, 2017
Julie Lockner (17 Minds Corporation)
Average rating: ****.
(4.00, 1 rating)
How can we empower individuals with special needs to reach their full potential? Julie Lockner offers an overview of a project to develop collaboration applications that use wearable device data to improve the ability to develop the best possible care and education plans. Join in to learn how real-time IoT data analytics are making this possible. Read more.
2:55pm3:35pm Wednesday, September 27, 2017
Brian Dalessandro (Capital One)
Average rating: ****.
(4.67, 3 ratings)
Zocdoc is an online marketplace that allows easy doctor discovery and instant online booking. However, dealing with healthcare involves many constraints and challenges that render standard approaches to common problems infeasible. Brian Dalessandro surveys the various machine learning problems Zocdoc has faced and shares the data, legal, and ethical constraints that shape its solution space. Read more.
4:35pm5:15pm Wednesday, September 27, 2017
Business case studies, Strata Business Summit
Location: 1E 10/11 Level: Intermediate
Charles Boicey (Clearsense)
Charles Boicey explains how Clearsense uses Spark Streaming to provide real-time updates to healthcare providers for critical healthcare needs, helping clinicians make timely decisions from the assessment of a patient's risk based on information gathered from streaming physiological monitoring along with streaming diagnostic data and the patient historical record. Read more.
4:35pm5:15pm Thursday, September 28, 2017
Big data and the Cloud, Machine Learning & Data Science
Location: 1A 12/14 Level: Intermediate
Jon Fuller (KNIME), Olivia Klose (Microsoft)
Average rating: ***..
(3.00, 1 rating)
Jon Fuller and Olivia Klose explain how KNIME, Apache Spark, and Microsoft Azure enable fast and cheap automated classification of malignant lymphoma type in digital pathology images. The trained model is deployed to end users as a web application using the KNIME WebPortal. Read more.