{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,3]],"date-time":"2026-09-03T07:16:24Z","timestamp":1788419784181,"version":"build-2803163510"},"reference-count":34,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,9,3]],"date-time":"2026-09-03T00:00:00Z","timestamp":1788393600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Public Health"],"abstract":"<jats:p>\n                    The increasing burden of childhood myopia creates a need for screening models that remain informative when routinely collected clinical measurements are incomplete. We propose SSR-Stacking, a hybrid framework integrating Graph Neural Networks (GNN) with Ensemble Learning for classification of final-follow-up high-myopia status under simulated missingness of baseline spherical equivalent (SE). Unlike traditional models, we construct a Social-Environment Graph based on school-class affiliations to represent classroom-level relational structure. Our framework features a Self-Supervised Reconstruction (SSR) mechanism toreconstruct randomly masked baseline SE from neighboring peers and a Meta-Stacking layer to fuse GNN embeddings with diverse ML classifiers (XGBoost, SVM, RF). Evaluated on a longitudinal dataset (\n                    <jats:italic>N<\/jats:italic>\n                    = 4, 973) from Binchuan, China, under 50% simulated baseline-SE missingness using classroom-level grouped folds and out-of-fold stacking, SSR-Stacking achieved a ROC-AUC of 0.9184 (95% CI: 0.9062\u20130.9306), PR-AUC of 0.6120, Recall of 0.8119, Specificity of 0.9851, and F1-score of 0.7506 on unsampled held-out predictions with a natural high-myopia prevalence of 4.06%. These internal results support further evaluation under natural missingness and external validation before clinical deployment.\n                  <\/jats:p>","DOI":"10.3389\/fpubh.2026.1892477","type":"journal-article","created":{"date-parts":[[2026,9,3]],"date-time":"2026-09-03T06:44:29Z","timestamp":1788417869000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["SSR-stacking: a hybrid GNN\u2013ensemble framework for high-myopia classification under simulated baseline-SE missingness"],"prefix":"10.3389","volume":"14","author":[{"given":"Na","family":"Zhao","sequence":"first","affiliation":[{"name":"School of Software, Yunnan University, Kunming","place":["Yunnan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Runze","family":"Zheng","sequence":"additional","affiliation":[{"name":"School of Software, Yunnan University, Kunming","place":["Yunnan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhaoyu","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Software, Yunnan University, Kunming","place":["Yunnan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cairui","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Ophthalmology, People's Hospital of Dali Bai Autonomous Prefecture","place":["Yunnan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinhao","family":"Lu","sequence":"additional","affiliation":[{"name":"School of Software, Yunnan University, Kunming","place":["Yunnan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chao","family":"Dai","sequence":"additional","affiliation":[{"name":"School of Software, Yunnan University, Kunming","place":["Yunnan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhan","family":"Tang","sequence":"additional","affiliation":[{"name":"School of Physics, Zhejiang University","place":["Hangzhou, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jian","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Information Engineering and Automation, Kunming University of Science and Technology, Kunming","place":["Yunnan, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,9,3]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"1036","DOI":"10.1016\/j.ophtha.2016.01.006","article-title":"Global prevalence of myopia and high myopia and temporal trends from 2000 through 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