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)
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