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AVM clinical data for building prediction models

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DataCite Commons2025-05-01 更新2025-05-17 收录
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https://data.mendeley.com/datasets/k263py4fzb
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资源简介:
The dataset in the file "combined1.csv" included 384 patient's clinical data, including 7 variables: age, sex, location, aneurysm, nidus size, draining type, the number of draining veins, and hemorrhage. Female was defined as 0, male as 1. Superficial AVM was defined as 0, deep AVM as 1, infratentorial AVM as 2. Only superficial draining vein was defined as 0, mixed superficial and deep draining vein as 1. A single draining vein was defined as 1, multiple draining veins as 2. Ruptured AVM was defined as 1, unruptured AVM as 0. The file "randomtestpredict.R" was the source file in RStudio, which was used to build and test prediction models based on the above data file.
提供机构:
Mendeley
创建时间:
2020-06-04
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