Open AccessAn Innovation-Driven Approach to Specific Language Impairment Diagnosis
Author(s) -
Yan Huan Ch'ng,
Mohd Azam Osman,
Hui Ying Jong
Publication year - 2021
Publication title -
the malaysian journal of medical sciences/the malaysian journal of medical science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.394
H-Index - 25
eISSN - 2180-4303
pISSN - 1394-195X
DOI - 10.21315/mjms2021.28.2.15
Subject(s) - computer science , automation , classifier (uml) , binary classification , specific language impairment , artificial intelligence , task (project management) , software , machine learning , natural language processing , programming language , support vector machine , engineering , psychology , mechanical engineering , systems engineering , cognitive psychology
Specific language impairment (SLI) diagnosis is inconvenient due to manual procedures and hardware cost. Computer-aided SLI diagnosis has been proposed to counter these inconveniences. This study focuses on evaluating the feasibility of computer systems used to diagnose SLI.