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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Accuracy of a Screening Tool for Early Identification of Language Impairment
Noëlle Uilenburg1, Karin Wiefferink1, Paul Verkerk2
1Dutch Foundation for the Deaf and Hard of Hearing Child, Amsterdam, the Netherlands.
Purpose:
A screening tool called the VTO Language Screening Instrument (VTO-LSI) was developed to enable more uniform and earlier detection of language impairment. This report, consisting of 2 retrospective studies, focuses on the effects of using the VTO-LSI compared to regular detection procedures.
Method:
Study 1 retrospectively compared VTO-LSI with regular detection procedures. Outcome measure was the detection rate of language impairment among 24-month-old children. Data were retrieved from medical records of children attending a youth health care center. Study 2 retrospectively compared the effects of VTO-LSI and regular detection procedures on the age at referral for diagnostic investigations and the influence of sex. Data were retrieved from medical records from the speech and hearing center and analyzed with multivariate analysis of variance.
Results:
With the VTO-LSI, significantly more cases with language impairment were identified compared with the regular detection procedure (2.4% vs. 0.4%). In regions where the VTO-LSI was used, girls were almost 2 years younger, and boys were 1 year younger when referred to diagnostic investigations than in regions with regular detection procedures.
Conclusion:
The VTO-LSI was more effective than regular detection procedures.
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