SCADI
OpenML dataset with id 42877
No author found.
Full work available at URL: https://api.openml.org/data/v1/download/22045495/SCADI.arff
Upload date: 12 May 2021
Copyright license: CC0
Dataset Characteristics
Number of features: 206 (numeric: 1, symbolic: 205 and in total binary: 204 )
Number of instances: 70
Number of instances with missing values: 0
Number of missing values: 0
Author: S.M.M. Fatemi Bushehri,Moslem Dehghanizadeh,Shokoofeh Kalantar,Mohsen Sardari Zarchi Source: UCI - 1994 Please cite: See BibTeX citation
SCADI dataset This dataset contains 206 attributes of 70 children with physical and motor disability based on ICF-CY. In particular, the SCADI dataset is the only one that has been used by ML researchers for self-care problems classification based on ICF-CY to this date. The 'Class' field refers to the presence of the self-care problems of the children with physical and motor disabilities.The classes are determined by occupational therapists. The names and social security numbers of the children were recently removed from the dataset.
Two files have been 'processed', SCADI.arff for using in WEKA and SCADI.CSV for using in MATLAB and similar tools.
Attribute information:
1. gender: gender (1 = male; 0 = female)
2. age: age in years
3-205. self-care activities based on ICF-CY (1 = The case has this feature; 0 = otherwise)
206. Classes ( class1 = Caring for body parts problem; class2 = Toileting problem; class3 = Dressing problem; class4 = Washing oneself and Caring for body parts and Dressing problem; class5 = Washing oneself, Caring for body parts, Toileting, and Dressing problem; class6 = Eating, Drinking, Washing oneself, Caring for body parts, toileting,Dressing, Looking after health and Looking after safety problem; class7 = No Problem; )
This page was built for dataset: SCADI
