SCADI
Donated on 4/13/2018
First self-care activities dataset based on ICF-CY.
Dataset Characteristics
Multivariate
Subject Area
Health and Medicine
Associated Tasks
Classification, Clustering
Feature Type
-
# Instances
70
# Features
-
Dataset Information
Additional Information
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.
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no |
0 to 10 of 206
Additional Variable 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 one’s health and Looking after one’s safety problem; class7 = No Problem; )
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset scadi = fetch_ucirepo(id=446) # data (as pandas dataframes) X = scadi.data.features y = scadi.data.targets # metadata print(scadi.metadata) # variable information print(scadi.variables)
Bushehri,S.M.M., Dehghanizadeh,Moslem, Kalantar,Shokoofeh, and Zarchi,Mohsen. (2018). SCADI. UCI Machine Learning Repository. https://doi.org/10.24432/C5C89G.
@misc{misc_scadi_446,
author = {Bushehri,S.M.M., Dehghanizadeh,Moslem, Kalantar,Shokoofeh, and Zarchi,Mohsen},
title = {{SCADI}},
year = {2018},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5C89G}
}Creators
S.M.M. Bushehri
Moslem Dehghanizadeh
Shokoofeh Kalantar
Mohsen Zarchi
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.