Explore the intersection of data science and wellness in this 47-minute talk by Dr. Robert Haslinger. Delve into the challenges and opportunities of using data and AI to improve physical and mental wellbeing. Learn about the complexities of physiological and biometric data, including noise and variability. Understand the importance of user preferences and experience in effecting change and ensuring compliance. Discover the most effective data science tools and AI approaches for tackling wellness problems. Examine legal, ethical, and practical considerations for collecting, storing, and leveraging health data. Gain insights into topics such as chronic disease management, lifestyle decisions, physical fitness, and diabetes care. Consider the implications of AI regulation in healthcare and the distinctions between consumer and medical devices. Explore the potential of machine learning, active learning, and sensor technologies in personalized wellness interventions.
Data Science for Health and Wellness - Dr. Robert Haslinger
Overview
Syllabus
Introduction
Scott Gottlieb quote
Artificial Intelligence
Find the Tumor
Chronic Disease
Health is not just disease
Lifestyle decisions
Changing behavior
Wellness
What can we do
Physical fitness example
Types of data
Headspace
Learning from experts
Machine learning
Active learning
Sensors
User Input
Style
Design
Diabetes
AI Regulation
Summary
Questions
I am not a lawyer
Engagement rates
Data privacy
Anonymizing data
Consumer vs Medical devices
Payer provider market
Taught by
Open Data Science
