ejw-data/ml-myopia
A variety of machine learning techniques used to identify nearsighted patients
This project helps eye care professionals and researchers identify children at risk of developing nearsightedness (myopia). By analyzing patient data, including initial eye measurements and demographic factors, it generates predictions about whether a child will become myopic. This tool is for ophthalmologists, optometrists, and vision researchers looking to predict myopia onset in young patients.
No commits in the last 6 months.
Use this if you are an eye care professional or researcher who wants to predict which children might develop nearsightedness based on their initial health data.
Not ideal if you need to analyze how myopia progresses over time or if your dataset includes longitudinal measurements rather than a single snapshot.
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Jupyter Notebook
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Last pushed
Sep 12, 2022
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