Completed
Social Determinants of Health (SDOH) are more important than medical care when it comes to human wellbeing
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Beyond the AI Buzz: Pragmatic Applications of Big Data and AI in Population Health - Grand Rounds 3/9/23
Automatically move to the next video in the Classroom when playback concludes
- 1 Intro
- 2 Population Health Informatics vs. Public Health Informa and Clinical Informatics
- 3 Health Care and Population Health Is Surrounded by an "e-Health" Digital Ecosystem
- 4 Social Determinants of Health (SDOH) are more important than medical care when it comes to human wellbeing
- 5 Social Determinants of Health and Population Health Analytics: Dat Sources, Applications and Context
- 6 Working Definitions
- 7 The Overlapping Data Science Fields: Ai, ML, Big Data, Predictive Analytics and More there is not always consensus regarding terms
- 8 The Pillars, Processes and Target Outcomes of a Value-Based Learning Health System Analytics and Big Data are Key
- 9 The Big Data Phases Applying Predictive Modeling: From Raw Data to Knowledge
- 10 Big Data "Volume" Challenges in Population Health
- 11 Big Data "Variety" Challenges in Population Health
- 12 Big Data "Velocity" Challenges in Population Health
- 13 Big Data "Veracity" Challenges in Population Hea
- 14 Working Definition of Artificial Intelligence and Machine Learning
- 15 TYPES OF ARTIFICIAL INTELLIGENCE
- 16 "Deep Learning" (aka neural nets) uses brute force to look for layer of "hidden" relationships between inputs (aka features) and outputs
- 17 In addition to predictions, ML can be applied to other types of pop heal analytics: "feature" (ind. variable) discovery, classification and selection are key
- 18 Comparison of AUC of ML and standard regression: One stud predicting chronic care outcomes - Model Accuracy is similar
- 19 CPHIT Study comparing standard regression to ML technique for predicting costs
- 20 At CPHIT we linked a range of medical, public health and hur service databases in Maryland to better predict opioid overdoses
- 21 Let's not forget that Ai and other types of analytics can be a source of bias or harm, leading to a type of e-iatrogenesis
- 22 Some key data science related challenges and opportunities in
