Semantic ICF Mapping and Functional Structure Comparison of ASD Assessment and Intervention Tools: An Exploration Based on the ASD Core Set

The World Health Organization created the International Classification of Functioning, Disability and Health (ICF) and the Autism Spectrum Disorder (ASD) Core Set to provide a common framework for understanding the ASD and guiding interventions, as traditional expert-based linkage is limited in terms of consistency, objectivity, and scalability. This study used a sentence embedding method to automatically map five ASD assessment and intervention tools to the ICF ASD Core Set. The analysis yielded different mapping patterns, with broader functional coverage than diagnostic studies. By aligning tools in a shared semantic space, this approach ensured comparability across measures and languages. The results showed that semantic-based automated mapping can supplement manual linkage and support function-centered planning in both education and intervention.

Authors

Publication Details

Journal
The Korean Association For Persons With Autism
Published
2025-08-31
DOI
https://doi.org/10.33729/kapa.2025.2.4
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Semantic ICF Mapping and Functional Structure Comparison of ASD Assessment and Intervention Tools: An Exploration Based on the ASD Core Set

Hye Jin Kam
The Korean Association For Persons With Autism
Autism Spectrum Disorder Research
article

Semantic ICF Mapping and Functional Structure Comparison of ASD Assessment and Intervention Tools: An Exploration Based on the ASD Core Set

Hye Jin Kam
article en

Abstract

The World Health Organization created the International Classification of Functioning, Disability and Health (ICF) and the Autism Spectrum Disorder (ASD) Core Set to provide a common framework for understanding the ASD and guiding interventions, as traditional expert-based linkage is limited in terms of consistency, objectivity, and scalability. This study used a sentence embedding method to automatically map five ASD assessment and intervention tools to the ICF ASD Core Set. The analysis yielded different mapping patterns, with broader functional coverage than diagnostic studies. By aligning tools in a shared semantic space, this approach ensured comparability across measures and languages. The results showed that semantic-based automated mapping can supplement manual linkage and support function-centered planning in both education and intervention.

The Korean Association For Persons With AutismVol. 25(2)
Openalex Percentile: Top 77%
Autism Spectrum Disorder Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.