Clinical Data Learning, Visualization, and Deployments
HST.953 · Electrical Engineering and Computer Science, Health Sciences and Technology · Graduate · Fall 2024
Marzyeh Ghassemi, Leo A. Celi, Adam Rodman, Prof Ned McCague
<p>HST.953 is a course about the practical considerations for operationalizing machine learning in healthcare settings. We begin the course with a focus on robust, private and fair machine learning (ML) using real retrospective healthcare data. We follow this with experiences in visualization (VIS) that target utility and clinical value. Finally, we explore the intermediate “implementation science” (IMP) tying together how real models might be potentially used through a visual system by practic…
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Marzyeh Ghassemi, Leo A. Celi, Adam Rodman, Prof Ned McCague. HST.953 Clinical Data Learning, Visualization, and Deployments. Fall 2024. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: CC BY-NC-SA 4.0.
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