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

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Bibliographic Details
Title: H3-MOSAIC: multimodal generative AI for semantic place detection from high-frequency GPS on H3 grids in mental health geomatics.
Authors: Liu L; Center for Geographic Analysis, Harvard University, Cambridge, MA, 02138, USA. lingboliu@fas.harvard.edu., Franklin R; Center for Geographic Analysis, Harvard University, Cambridge, MA, 02138, USA. rachel_franklin@cga.harvard.edu., Cheong J; Beth Israel Deaconess Medical Center, Boston, MA, 02115, USA., Cong T; Beth Israel Deaconess Medical Center, Boston, MA, 02115, USA., Byun JS; Beth Israel Deaconess Medical Center, Boston, MA, 02115, USA., Oh AY; Beth Israel Deaconess Medical Center, Boston, MA, 02115, USA., Torous J; Beth Israel Deaconess Medical Center, Boston, MA, 02115, USA. jtorous@bidmc.harvard.edu.; Harvard Medical School, Boston, MA, 02115, USA. jtorous@bidmc.harvard.edu.
Source: International journal of health geographics [Int J Health Geogr] 2025 Nov 22; Vol. 24 (1), pp. 35. Date of Electronic Publication: 2025 Nov 22.
Publication Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101152198 Publication Model: Electronic Cited Medium: Internet ISSN: 1476-072X (Electronic) Linking ISSN: 1476072X NLM ISO Abbreviation: Int J Health Geogr Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1476-072X
DOI:10.1186/s12942-025-00423-9