Pediatric ADHD Diagnostic Criteria Constraint Verification Benchmark

#diagnostic criteria verification #clinical constraint checking #evidence-based assessment #pediatric ADHD assessment #diagnostic criteria verification #clinical decision support

5000
0.4GB
JSON
CATL
MOBIUSI INC

Updated:2026-10-19

AI Analysis & Value Prop

This benchmark uses structured JSON records to capture ADHD symptom evidence in pediatric case materials, including duration, age of onset, reported settings, functional impact, missing information, and contradictions, then checks the evidence against prespecified diagnostic constraints. It supports evaluation of clinical evidence extraction, identification of insufficient or conflicting information, and overall constraint assessment for developmental-behavioral pediatrics applications. Results address only the specified constraints and do not replace professional diagnosis.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
missing_items	array	Information required to assess the specified constraints that is absent or insufficiently documented.
contradictions	array	Conflicting statements or evidence relevant to the specified diagnostic constraints.
duration_months	number	Duration of the relevant symptoms in months, when stated or derivable from the source material.
onset_age_years	number	Age in years when the relevant symptoms reportedly began, when stated or derivable.
criterion_checks	array	Result for each individual criterion or constraint in the target specification.
symptom_evidence	array	Structured, symptom-level evidence extracted from the case material, including the status of each item.
reported_settings	array	Distinct settings in which symptoms or related concerns are reported.
overall_assessment	string	Overall determination for the prespecified diagnostic constraints, without asserting a diagnosis beyond the reviewed constraints.
onset_before_age_12	boolean	Indicates whether the available evidence supports onset of relevant symptoms before age 12.
assessment_rationale	string	Concise synthesis of the overall constraint assessment, including decisive evidence and limitations.
source_case_material	string	Original case narrative or source text containing the clinical information to be reviewed.
functional_impairment	object	Structured summary of whether symptoms are associated with functional impairment and the evidence supporting that assessment.
target_constraint_specification	string	Prespecified diagnostic criteria and constraints against which the case material is evaluated.

Compliance Statement

Authorization Type	Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What information does the benchmark contain?: JSON records capture source case material, target diagnostic constraints, symptom evidence, symptom duration and age of onset, reported settings, functional impact, missing items, contradictions, criterion-level checks, and an overall assessment with rationale. The information available in each record depends on the fields and evidence actually provided.

Which capabilities can this benchmark evaluate?: It can evaluate whether a model extracts ADHD-related evidence from case text, checks prespecified requirements for symptom duration, onset, multiple settings, and functional impact, and identifies insufficient or conflicting evidence. It can also support comparisons of structured output and constraint reasoning in clinical text systems.

Can benchmark results be used as a clinical diagnosis?: No. The benchmark evaluates verification against specified diagnostic constraints; its overall assessment reflects only how well the reviewed material supports those constraints. It is not a diagnosis or treatment recommendation. Actual diagnosis should be made by qualified healthcare professionals following a comprehensive assessment.

How can the data be accessed, and what are the licensing terms?: Check the data provider or product listing for available formats, delivery options, and access conditions. Permitted uses, commercial rights, and redistribution restrictions depend on the applicable license or provider terms. Confirm relevant privacy, ethics, and compliance requirements before use.

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Cite this Work

@dataset{Mobiusi2026,
  title={Pediatric ADHD Diagnostic Criteria Constraint Verification Benchmark},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/95e42bee75359b25acaa4b3dff692763},
  urldate={2026-10-12},
  keywords={pediatric ADHD dataset,ADHD diagnostic criteria,constraint verification benchmark,clinical text evaluation,medical AI data,symptom evidence extraction,developmental-behavioral pediatrics,clinical contradiction detection},
  version={1.0}
}

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