Editorial and computational method

Methodology

This static field guide supports terminology learning and reference. It does not diagnose, interpret symptoms, recommend treatment, or replace clinical guidance.

Not medical advice

Analyze terminology only. Do not enter names, symptoms, record identifiers, or private medical information.

01 / Corpus model

Authored records first

Versioned local data defines sources, word parts, canonical terms, aliases, authored analyses, and term relationships. The production build validates references and generates static indexes before pages are exported.

02 / Result basis

Four explicit outcomes

Verified entry
An authored canonical term or source-cited alias supplies the displayed primary analysis.
Constructed from known parts
The local analyzer covers the full normalized input with known parts, but no authored term record exists.
Partial match
Known parts are ordered with literal unresolved spans. No meaning is invented for unresolved characters.
Unsupported
The input is empty, too long, contains multiple words or unsupported characters, or has no known parts.

03 / Segmentation

Order, coverage, and transformations

The analyzer normalizes one supported word and ranks candidate segmentations deterministically. Every resolved segment keeps source offsets. A recorded transformation, such as dropping a terminal combining vowel before a suffix, is shown rather than silently applied.

Confidence describes coverage and authorship basis, not medical certainty.

04 / Limitations

What this guide does not claim

  • The corpus is intentionally small and does not cover every medical term.
  • A computational construction is not an etymological or clinical conclusion.
  • Listed meanings and relationships stay within authored records.
  • External citations document provenance and may change outside this project.

05 / Corrections

Evidence-backed public issues

Term and part pages prepare a GitHub issue with the current record, fields for a proposed change, and an evidence request. GitHub issues are public. Never include names, symptoms, record numbers, or other private medical information.

Review the source ledger before proposing a correction.