AICLIRJul 31, 2023

AsdKB: A Chinese Knowledge Base for the Early Screening and Diagnosis of Autism Spectrum Disorder

arXiv:2307.16773v25 citationsh-index: 11
Originality Synthesis-oriented
AI Analysis

This work addresses the need for a centralized knowledge base to aid in autism screening and diagnosis in Chinese contexts, but it is incremental as it builds on existing medical standards and tools.

The authors tackled the problem of accessing knowledge for early screening and diagnosis of autism spectrum disorder by creating AsdKB, a Chinese knowledge base that integrates disease, diagnostic, and expert knowledge from multiple sources, resulting in a publicly accessible resource with a prototype for applications like question answering and auxiliary diagnosis.

To easily obtain the knowledge about autism spectrum disorder and help its early screening and diagnosis, we create AsdKB, a Chinese knowledge base on autism spectrum disorder. The knowledge base is built on top of various sources, including 1) the disease knowledge from SNOMED CT and ICD-10 clinical descriptions on mental and behavioural disorders, 2) the diagnostic knowledge from DSM-5 and different screening tools recommended by social organizations and medical institutes, and 3) the expert knowledge on professional physicians and hospitals from the Web. AsdKB contains both ontological and factual knowledge, and is accessible as Linked Data at https://w3id.org/asdkb/. The potential applications of AsdKB are question answering, auxiliary diagnosis, and expert recommendation, and we illustrate them with a prototype which can be accessed at http://asdkb.org.cn/.

Foundations

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