EMCQG generated more than 3 million distinct case-based questions for four physician specialities from the EMMeT ontology¶
Claim · All claims
Evidence · 1 study · designr2·q2
Currency · newest study 2019 · not yet checked against its sources · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? The implemented system generated more than 3 million questions for gastroenterology and hepatology, cardiology, internal medicine and orthopaedics. → J. Leo 2019
Evidence¶
J. Leo 2019¶
J. Leo, G. Kurdi, N. Matentzoglu, B. Parsia, U. Sattler, S. Forge, G. Donato, W. Dowling. (2019). Ontology-Based Generation of Medical, Multi-term MCQs. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-018-00172-w
q2 · i? · design · r2
Effectiveness measure reported by the authors: the number of distinct questions generatable from EMMeT-OWL across four physician specialities. The count is the article's own printed figure; no statistical test accompanies it.
"We generate more than 3 million questions for four physician specialities and evaluate our approach in a user study with 15 medical experts."
Discussion¶
Related Claims¶
- Ontology-based generation produced exam-appropriate case-based MCQs, with 30% of a stratified sample rated appropriate by both expert raters and 50% by at least one — related
- Prior automatic MCQ generation approaches produce structurally simple questions (at most two stem entities) testing mainly recall — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
emcqg-three-million-questions-four-specialities |
title |
EMCQG generated more than 3 million distinct case-based questions for four physician specialities from the EMMeT ontology |
description |
EMCQG generated more than 3 million distinct case-based questions for four physician specialities from the EMMeT ontology |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2019 |
generated |
by process:wiki-ingest on 2026-10-27 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — j-leo-2019 |
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