Sleep epidemiology · Knowledge-based clinical evaluation

Sleep-EVAL is the sleep-disorders knowledge base used by Ad-Infer.

Sleep-EVAL organizes the clinical knowledge required to evaluate sleep disorders. Ad-Infer is the integrated inferential system that uses this knowledge to conduct adaptive interviews, test positive diagnoses, explore differential diagnoses, and revise clinical hypotheses as new evidence emerges.

Explore the Sleep-EVAL KBS See how Ad-Infer reasons

Knowledge-basedSleep-disorder definitions, criteria, symptoms, exclusions and related clinical domains

Causal reasoningDirect and indirect causal relationships are evaluated within the clinical context

Positive + differentialEvidence can strengthen a diagnosis or challenge it and redirect the differential

LongitudinalNew symptoms, tests, treatments and events can revise prior inferences over time

Current inferential architecture

One integrated system: Ad-Infer

Sleep-EVAL is not a separate inference engine. It is the sleep-domain knowledge base. Ad-Infer provides the inferential architecture and uses EVAL-KBS functions, fuzzy evaluation, learning and integrated language-model capabilities within a continuous clinical reasoning loop.

Sleep-EVAL Domain-specific knowledge for sleep disorders: concepts, questions, criteria, temporal relationships, exclusions, comorbidities, treatments and clinically relevant context.

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EVAL-KBS within Ad-Infer Knowledge processing, Type-2 causal reasoning, fuzzy evaluation, learning processes, deep-learning mechanisms and Bayesian belief updating.

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Integrated language-model functions Semantic understanding, adaptive questioning, clarification and interpretation of how new information relates to direct or indirect clinical causality.

Continuous feedback into inference. Ad-Infer uses the interaction itself as clinically relevant evidence: which questions are asked or skipped, understood or misunderstood, accepted or refused, and which answers confirm, qualify or contradict the current hypotheses. Returned evidence is re-evaluated by Ad-Infer and may strengthen the positive diagnosis, alter the belief state, or become part of the differential-diagnosis process.

What Sleep-EVAL contributes

Clinical knowledge organized for population and longitudinal research

Sleep-EVAL was created to make detailed clinical evaluation possible at epidemiological scale while retaining the logic of clinical diagnosis rather than reducing sleep disorders to a short symptom checklist.

Assessment

Structured sleep knowledge

Sleep-wake schedules, insomnia, hypersomnolence, breathing disorders, parasomnias, movement phenomena, circadian patterns, medications, medical and psychiatric context, impairment and function.

Inference

Clinical hypotheses are tested

Ad-Infer selects questions according to the evolving case, seeks missing elements, evaluates exclusions and alternative explanations, and can reopen earlier hypotheses when new information changes the causal picture.

Research

Comparable clinical phenotypes

The same inferential framework can support population samples, clinical groups, family studies and repeated assessments, producing structured phenotypes suitable for epidemiological and longitudinal analyses.

Scientific record

Validation, epidemiology and publications

The Sleep-EVAL program includes methodological validation against specialist clinical assessment and polysomnographic data, large general-population studies in multiple countries, and decades of research on sleep disorders, psychiatric and medical correlates, vigilance, function and longitudinal change.

Validation studies Publications Population studies