MIS 752: AI and Healthcare
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Course home and live lab demos for UNLV MIS 752 (Fall 2026). Synthetic data only; education, not clinical decision-making. • 6 items • Updated
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MIS 752 bonus: the whole pipeline in five cells
Optional · 50 extra credit points · about 20 minutes. Also the notebook to run when Hugging Face is not working for you: it tests each piece and prints a report you can send Dr. Young.
Get the notebook and submit here: https://unlv.instructure.com/courses/214078/assignments/2856035
(download Bonus_One_Question_Pipeline.ipynb from this repo or from WebCampus, then in Colab: File → Upload notebook).
Five cells, top to bottom. Each does one thing, and if something is missing it stops and names the fix.
- Check your two keys, your account, and any Spaces you already have.
- Ask a free model one question (OpenRouter, $0).
- Picture: the same model lists the five factors behind its answer as data; the notebook charts them.
- Publish under your name: a dataset and a static Space, a page headed by the question.
- Share with the MIS-752 classroom, then print the link for WebCampus and your report.
The code is the point. It is visible, written for non-coders, and built from five named functions
you can copy into any later lab: ask_model, ask_for_data, factor_chart, publish_space,
add_to_gallery. The last cell collects them in 25 lines.
Course: https://huggingface.co/MIS-752 · UNLV Lee Business School, Fall 2026.
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