Some statistical aspects of children with disabilities in Assam, India. (2018)

• Record Type: Journal Article
• Authors: Kalita, Jumi
• Is Part Of: International journal of intelligent systems design and computing. Volume 2:Number 1(2018)
• Page Start: 76
• Page End: 87
• Publication Date: 2018
• Subjects: disability -- chi-square test -- multinomial logistic regression -- odd ratio -- autistic -- mentally challenged -- cerebral palsy -- learning disability -- delayed speech and language -- birth condition -- baby's health problem -- health problem during pregnancy -- India; Artificial intelligence -- Periodicals; Human-computer interaction -- Periodicals; 006.3
• Languages: English
• ISSNs: 2052-8477

Abstract

Analysis of data plays a very important role in describing a data set from various angles of interest. It digs out different characteristics intrinsic in the data set. This paper analyses the occurrences of disability in children for gender-wise distribution, rural-urban distribution, and probes any probable relationship of mothers' age with occurrence of disability among newborns. The influence of the parameters like birth-cry, birth-weight, mother's health during pregnancy and severe health problem of the children within a short period after the birth in determining the disability types are analysed through multinomial logistic regression. Analysis of data relating to children with disability may be useful in predicting disability and taking precautionary measures.