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

<p>Philosophy of Data Science Series</p> <p>Session 1: Scientific Reasoning for Practical Data Science</p> <p>Episode 1: Critical Reasoning in Medical Machine Learning</p> <p> </p> <p>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.</p> <p>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.</p> <p>This is...</p> <p>Session 1: Scientific Reasoning for Practical Data Science</p> <p>Episode 1: Critical Reasoning in Medical Machine Learning</p> <p>Watch it on... YouTube: <a href='https://youtu.be/o5YmdoCiyug'>https://youtu.be/o5YmdoCiyug </a></p> <p>Podbean:</p> <p> </p> <p>Coming up next week: Applying Scientific Reasoning to Statistical Practice with Andrew Gelman (Columbia University)</p> <p>We're always happy to hear your feedback and ideas - just post it in the YouTube comment section to start a conversation.</p> <p>Thank you for your time and support of the series!</p>