NHOS Clinical Symptom Intelligence v13.6 — Symptom–Condition Mapping Engine

Q: What does NHOS Clinical Symptom Intelligence do?

NHOS Clinical Symptom Intelligence is an on-device engine that maps free-text or spoken symptom descriptions to a curated library of clinical conditions across 41 body systems. It performs NLP-driven parsing, age-banded vitals interpretation, negation-aware red-flag scanning, rule-based risk indexing, and returns a single unified clinical disposition. It is an educational information tool, not a medical device.

Q: Is NHOS a medical device or a diagnostic tool?

No. NHOS Clinical Symptom Intelligence is an educational information tool. It does not diagnose, treat, cure, or prevent any disease and is not a substitute for professional medical advice, diagnosis, or treatment. Always consult a qualified healthcare provider. If you think you may have a medical emergency, call your local emergency services immediately.

Q: Does NHOS send my symptom data to a server?

No. All analysis — symptom parsing, condition mapping, vitals interpretation, red-flag scanning, and clinical orchestration — runs entirely in your browser. NHOS Labs operates no cloud inference endpoints for this tool. Recent-check history is stored only in your browser's localStorage.

Q: How does NHOS interpret vital signs across different age groups?

NHOS uses age-banded reference ranges spanning neonate, infant, toddler, preschool, school-age, adolescent, adult, and elderly. Adult cut-offs are never applied to younger bands; where an age-specific rule is not validated, the result is labeled informational rather than authoritative.

Q: What are Rule-Based Risk Indices?

Rule-Based Risk Indices are deterministic, transparent scoring models (e.g. Inflammatory/Sepsis Alert, Respiratory Distress Burden, Dehydration Burden, Meningitis Concern) that sum weighted contributions from structured vital-sign categories and active red-flag IDs. They are not statistically validated predictive models and are not probabilities of disease.

Q: How is the symptom–condition mapping generated?

Each symptom profile in the SEEDS table links to conditions through three documented mechanisms: (1) curated conditions explicitly listed in the SEEDS table; (2) a primary-system pool drawing from the symptom's primary body system; and (3) an adjacent-system pool drawing from two clinically adjacent body systems. This rule is published so results can be audited, reproduced, or modified.

Q: Who developed NHOS Clinical Symptom Intelligence?

NHOS Clinical Symptom Intelligence was developed by Adedapo Ogundiran (ORCID 0009-0003-8025-1116) and published by NHOS Labs, Inc.

Ogundiran, Adedapo

Map symptoms to conditions — by typing or voice

Full clinical mapping engine: … symptom-to-condition associations, … distinct conditions across … body systems. NLP-driven parsing, age-banded vitals interpretation, negation-aware red-flag scanning, rule-based risk indices, and a unified clinical disposition.

Voice NLP

Age-banded vitals engine

Negation-aware red flags

100% on-device

Auditable

NHOS Clinical Symptom Intelligence — symptom–condition mapping engine overview

Clinical Input Ctrl+K to focus · Ctrl+B toggle sidebar

Voice engine ready

Say "Hey NHOS" or click mic to start

Voice commands: "Hey NHOS" (wake) · "clear" · "analyze now" · "read results" · "stop listening" · "help"

🏥 CLINICAL MODE ACTIVE Red flags · Vitals · Risk indices · Med safety —

📋 Clinical Analysis

Ready to analyze

Type or speak your symptoms above, or pick a sample to see evidence-informed results.