Research Trends on Metabolic Syndrome in Digital Health Care Using Topic Modeling: Systematic Search of Abstracts
Kiseong Lee, Yoongi Chung, Ji-Su Kim · 2024
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Description
Kiseong Lee, Yoongi Chung, and Ji-Su Kim published a bibliometric study in twenty twenty-four mapping how digital health research on metabolic syndrome has evolved. One hundred sixty-two abstracts from six databases survived screening. Text networks and an automated topic model based on language embeddings did the mapping.
Twelve topics emerged, the largest on telehealth for diabetes self-management. The keyword network, over a thousand nodes strong, centered on the syndrome, patients, health, and interventions. The authors chart where the field clusters and where it thins, giving newcomers a map and funders a gap analysis. Digital tools for lifestyle-driven disease are a crowded frontier; knowing its geography is the study's contribution.
Catalog record
| CREATOR | Kiseong Lee, Yoongi Chung, Ji-Su Kim |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 30 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |