H3-MOSAIC: multimodal generative AI for semantic place detection from high-frequency GPS on H3 grids in mental health geomatics

H3-MOSAIC provides a scalable, auditable pipeline for semantic place detection from high-frequency GPS. Multimodal fusion markedly improves accuracy and consistency. Proprietary models are most robust on hard classes and open-source models are practical for coarse taxonomies. H3 day level exposures show stress patterns consistent with established mental health pathways, supporting face validity. The framework enables downstream exposure analyses with reduced misclassification and improved interpretability.

Authors

Institutions

Publication Details

Journal
International Journal of Health Geographics
Published
2025-11-22
DOI
https://doi.org/10.1186/s12942-025-00423-9
Citations
1
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
1.54

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

H3-MOSAIC: multimodal generative AI for semantic place detection from high-frequency GPS on H3 grids in mental health geomatics

Rachel S. Franklin, John Blake Torous, Jiaee Cheong, Tongkuai Cong et al.
1 citations
International Journal of Health Geographics
Digital Mental Health Interventions
1.54
article

H3-MOSAIC: multimodal generative AI for semantic place detection from high-frequency GPS on H3 grids in mental health geomatics

Rachel S. Franklin, John Blake Torous, Jiaee Cheong, Tongkuai Cong, Lingbo Liu, A. Oh, Jin Soo Byun
article en
1 citations

Abstract

H3-MOSAIC provides a scalable, auditable pipeline for semantic place detection from high-frequency GPS. Multimodal fusion markedly improves accuracy and consistency. Proprietary models are most robust on hard classes and open-source models are practical for coarse taxonomies. H3 day level exposures show stress patterns consistent with established mental health pathways, supporting face validity. The framework enables downstream exposure analyses with reduced misclassification and improved interpretability.

International Journal of Health GeographicsVol. 24(1)
Beth Israel Deaconess Medical Center (US), Harvard University (US), Harvard University Press (US), Center for Policy Analysis (US)
National Science Foundation
Openalex Percentile: Top 12%
Digital Mental Health Interventions
1.54
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

H3-MOSAIC: multimodal generative AI for semantic place detection from high-frequency GPS on H3 grids in mental health geomatics — Rachel S. Franklin, John Blake Torous, et al. · International Journal of Health Geographics (2025) | TGRS Research Map | TGRS