From the course: Responsible AI: Principles and Practical Applications
Join today to access over 23,300 courses taught by industry experts.
AI in healthcare
From the course: Responsible AI: Principles and Practical Applications
AI in healthcare
- Before we take a deep dive into issues with the use of AI in healthcare, let's hear from Dr. Ziad Obermeyer, Blue Cross of California Distinguished Associate Professor of Health Policy and Management at the UC Berkeley School of Public Health. His research focuses on the intersection of machine learning, medicine and health policy. - [Ziad] We want to find people who are going to get sick, like, people who are going to have an exacerbation of their heart failure or their emphysema or something like that so that we can get them on the right medications and so we want to find people who are going to get sick, but there's no variable in our data set called "Get Sick" or "Health" or anything like that. And so, when you're building an algorithm, algorithms are very literal, a variable in a data set. They looked at who generated a lot of healthcare costs and they used that as a proxy for who needed things for their health and the…
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.