Using Data Science to Design Precision Preventative Behavioral Medicine | Ryan Quan | HWB16
Channel: Hyper Wellbeing
Date: 2017-02-11

SEE MORE CONTENT like this ► https://podcast.hyperwellbeing.com/

❝USING DATA SCIENCE TO DESIGN EFFECTIVE PRECISION PREVENTATIVE BEHAVIORAL MEDICINE❞

Ryan Quan, Data Scientist at Omada Health

There is widespread agreement that lifestyle-focused preventative approaches are the most effective way to combat conditions like diabetes and heart disease. But behavior change is hard, and to date, even the most effective in-person programs include little (or no) personalization.
The data science team at Omada is changing that. We’ll discuss how we’ve built machine learning and experimentation directly into our product – leveraging vast amounts of behavioral data to create a system that continually improves in maximizing participant outcomes.
From creating a culture of data-driven product development to specific analytical techniques used to design and deploy a precision behavioral intervention, in this talk we’ll outline the path toward targeting the right individual, at the right time in the most effective way.

Recorded 14th November 2016 at the Computer History Museum (1401 N. Shoreline Blvd. Mountain View, CA 94043).

Twitter @hyperwellbeing
LinkedIn https://bit.ly/qhwalipod
LinkedIn group https://bit.ly/qhwali
Consulting https://hyperwellbeing.com
Newsletter https://eepurl.com/b71fdr