An Innovation-Driven Approach to Specific Language Impairment Diagnosis
Author(s) -
Ch’ng Yan Huan,
Mohd Azam Osman,
Jong Hui Ying
Publication year - 2021
Publication title -
malaysian journal of medical sciences
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.
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