Philosophy of Data Science | S01 E01 | Critical Reasoning in Medical Machine Learning

Philosophy of Data Science Series Session 1: Scientific Reasoning for Practical Data Science Episode 1: Critical Reasoning in Medical Machine Learning   Data science in medicine and healthcare requires not only algorithmic and statistical knowledge but also a strong appreciation of the clinical environment in which (i) the data is being collected and (ii) the algorithm will be used. I'll showcase a scenario where a machine learning system failed to perform a "simple" clinical task and how critical reasoning was used to resolve the problem. Guest-host Kristin Morgan (University of Connecticut) joins us to lead the discussion in how this example is applicable to the broader field of biomedical data science. This is... Session 1: Scientific Reasoning for Practical Data Science Episode 1: Critical Reasoning in Medical Machine Learning Watch it on... YouTube: https://youtu.be/o5YmdoCiyug Podbean:   Coming up next week: Applying Scientific Reasoning to Statistical Practice with Andrew Gelman (Columbia University) We're always happy to hear your feedback and ideas - just post it in the YouTube comment section to start a conversation. Thank you for your time and support of the series!