Published by
@ShahidNShah
@ShahidNShah
August 6, 2021
Online
Static rule-based algorithms to assist medical diagnosis and treatment monitoring have been used in practice for decades (e.g. heart rate monitoring). Research into detecting epileptic seizures from the electrical activity of the brain , with machine learning, has been an active area of research for over 20 years. Given recent advancements in "big data", portable bio-sensing technologies, and other computer hardware/software, the feasibility of successfully implementing such algorithms into practice is improving.
This talk is an overview of how new applications of ML could soon provide physiologists with better quantitative tools to improve workflow and diagnostic accuracy. Prior knowledge of epilepsy, neuroscience, and ML is not assumed: talk aims to be accessible to a broad range of backgrounds.
Read on meetup.com
Continue reading at meetup.com
August 6 to August 7, 2021
London, UK
Connecting innovation decision makers to authoritative information, institutions, people and insights.
Medigy accurately delivers healthcare and technology information, news and insight from around the world.
Medigy surfaces the world's best crowdsourced health tech offerings with social interactions and peer reviews.
© 2024 Netspective Foundation, Inc. All Rights Reserved.
Built on Nov 21, 2024 at 6:20am