AsdKB: A Chinese Knowledge Base for the Early Screening and Diagnosis of Autism Spectrum Disorder
Tianxing Wu, Xudong Cao, Yipeng Zhu, Feiyue Wu, Tianling Gong, Yuxiang, Wang, Shenqi Jing

TL;DR
AsdKB is a comprehensive Chinese knowledge base on autism spectrum disorder designed to facilitate early screening and diagnosis through integrated ontological and factual data from multiple sources.
Contribution
We developed AsdKB, a novel Chinese knowledge base combining diverse autism-related knowledge sources to support diagnosis and screening applications.
Findings
Enables question answering and expert recommendation
Supports auxiliary diagnosis of autism spectrum disorder
Accessible as Linked Data for integration and use
Abstract
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/.
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Taxonomy
TopicsBiomedical Text Mining and Ontologies
MethodsBalanced Selection
