Development and Use of a Diagnosis and Treatment System for Childrens Brain Disorders Using Knowledge Graphs and Large Models

What this Trial Is About

Researchers are developing and applying a diagnosis and treatment system for childrens brain diseases using knowledge graphs and large models that combine Chinese and Western medicine. This system includes tools for popularizing prevention, assisting decision-making, and providing follow-up tracking and question-answer support for childhood encephalopathy patients. The study focuses on conditions such as cerebral palsy, mental retardation, Tourettes syndrome, attention deficit hyperactivity disorder, and autism spectrum disorders. The study involves no intervention treatment but uses a Pediatric Encephalopathy Science and Prevention Decision Aid Follow-Up Q&A system. This observational study collects data and monitors various health and behavioral measures over four months to evaluate the childs condition and response. The system supports clinical assessment without administering any new treatment. Participants will be assessed using multiple scales and health measurements, including the Childhood Autism Rating Scale, Yale Global Tic Severity Scale, Gross Motor Function Assessment Scale, Autism Behavior Checklist, and Wechsler Intelligence Scale. Vital signs such as resting heart rate, blood pressure, respiratory rate, and body temperature will also be monitored. Samples of saliva, blood, urine, and feces will be collected. The study runs from January 2024 to December 2025, with assessments conducted over a four-month period.

Development and Application of a Diagnosis and Treatment System for Children's Brain Diseases Based on Knowledge Graphs and Large Models