Multi-modal inflammatory risk modeling in post-PCI patients using behavioral and physiologic data

Multimodal integration of wearable-informed behavioral and physiologic data enhances the prediction of inflammatory outcomes after PCI. The strong association of behavioral metrics with inflammation supports the development of patient-centered, self-regulatory interventions for long-term cardiovascular risk management.

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Publication Details

Journal
PLoS ONE
Published
2025-11-10
DOI
https://doi.org/10.1371/journal.pone.0336394
Primary Topic
Cardiac Health and Mental Health
Type
article
Field-Weighted Citation Impact
0.00
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article

Multi-modal inflammatory risk modeling in post-PCI patients using behavioral and physiologic data

Sang-Hee Kim
PLoS ONE
Cardiac Health and Mental Health
article

Multi-modal inflammatory risk modeling in post-PCI patients using behavioral and physiologic data

Sang-Hee Kim
article en

Abstract

Multimodal integration of wearable-informed behavioral and physiologic data enhances the prediction of inflammatory outcomes after PCI. The strong association of behavioral metrics with inflammation supports the development of patient-centered, self-regulatory interventions for long-term cardiovascular risk management.

PLoS ONEVol. 20(11)
Keimyung University (KR)
Openalex Percentile: Top 49%
Cardiac Health and Mental Health
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Multi-modal inflammatory risk modeling in post-PCI patients using behavioral and physiologic data — Sang-Hee Kim · PLoS ONE (2025) | TGRS Research Map | TGRS