Name: What can machine learning offer COVID-19?
Start: 2020-06-17T19:00:00-07:00
End: 2020-06-17T21:00:00-07:00

By Rajiv Bhatia, MD, MPH, Stanford University

The event is jointly organized by ValleyML and SF Bay ACM. It will be available on Zoom and YouTube. Access will start about 6:45pm, using only one of the links per device.

7:00 Announcements and Presentation

ZOOM link: For SFBay ACM members only. Please check https://www.meetup.com/SF-Bay-ACM/events/270702684/

Youtube live stream link: https://youtu.be/JEpV9T8jM1E

Before the event, please contribute your perspectives by taking the 12 multiple choice Covid-19 Open Questions Survey using group number 94043
https://docs.google.com/forms/d/e/1FAIpQLSch_XdCZVms4VN-eMgBBIMHfTKO9bxrLNM8jqsC0SAcX6v2xA/viewform
More about the Project:
http://www.thecivicengine.org/coviduncertainties.html

Current Situation

●A novel virus, Covid-19, known to cause severe pneumonia and death, but with highly uncertain information on transmission behavior, human susceptibility, and immunity.
●Protective human behavioral and governmental responses driven by uncertainty and threat resulting in unprecedented economic disruption and unemployment.
●Secondary social and health harms including anxiety, delayed medical care, domestic violence, etc.
●Long term risks of maladaptive human behaviors, including economic depression, worsening social division and inequality.

Machine learning might ….

●Better understand or predict viral behavior both naturally and under different scenarios of control (e.g. disease modeling).
●Create an early warning indicator for hospital demand.
●Estimate real-time, location, specific individualized risks of Covid-19 disease at the individual, community, and business levels in real time. For example, what’s my risk of going to a restaurant in San Francisco tonight or taking a vacation to New York City.
●Sense where knowledge is converging and where uncertainty remains.
●Identify unexpected consequences, e.g. 3rd and 4th order effects, blind spots.

Some Reading

The Pandemic Doesn't Have to Be This Confusing
Projecting the transmission dynamics of SARS-CoV-2 through the post pandemic period
COVIDView Weekly Summary
Hospitalization Rates and Characteristics of Patients Hospitalized with Laboratory-Confirmed Coronavirus Disease 2019
Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2)
COVID-induced economic uncertainty and its consequences | VOX, CEPR Policy Portal
My Health Today, Or Your Health Tomorrow - Rajiv Bhatia, MD
If the world fails to protect the economy, COVID-19 will damage health not just now but also in the future
Unexpected Scientific Insights into COVID-19 From AI Machine Learning Tool
Model quantifies the impact of quarantine measures on Covid-19’s spread
Artificial intelligence and machine learning to fight COVID-19

Speaker Bio

Dr. Rajiv Bhatia is a physician and internationally recognized health systems innovator. From 1998 through 2013, he led San Francisco's pioneering work on health impact assessment (HIA), community health indicators, and open civic data — all strategies to generate actionable civic intelligence on the health externalities of social and economic systems beyond healthcare. He currently works as a practicing primary care physician and as a consultant to civil society organizations, healthcare systems, and governments designing and implementing informatics practices to address the community, economic, and environmental roots of health.
drajiv@stanford.edu
https://www.linkedin.com/in/rajivbhatia64

Koji Seto

ValleyML AI

Valley ML and AI - Bay Area Chapter

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What can machine learning offer COVID-19?

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Valley ML and AI - Bay Area Chapter

What can machine learning offer COVID-19?

Valley ML and AI - Bay Area Chapter

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