Published on 04 June 2020

AVM clinical data for building prediction models

View Dataset
Chen, Fenghua

Description

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.

Citations (0)

Mentions (0)

Metrics

Dataset Index

1.6

FAIR Score

65%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Mendeley

Assigned Domain

Subfield

Surgery

Field

Medicine

Domain

Health Sciences

Confidence Score

37%

Source

Scholar Data Model

Keywords

Arteriovenous Malformation

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00