Machine learning-based fatigue classification using heart rate variability and cortisol: A multimodal approach to wearable health monitoring.
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| Title: | Machine learning-based fatigue classification using heart rate variability and cortisol: A multimodal approach to wearable health monitoring. |
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| Authors: | Kim JE; Department of Family Medicine, Seoul National University Bundang Hospital, Seongnam, Korea., Kim NH; Center for Artificial Intelligence in Healthcare, Seoul National University Bundang Hospital, Seongnam, Korea.; Department of Data Science, Inha University, Incheon, Korea., Choi SK; Center for Artificial Intelligence in Healthcare, Seoul National University Bundang Hospital, Seongnam, Korea., Lee JY; Center for Artificial Intelligence in Healthcare, Seoul National University Bundang Hospital, Seongnam, Korea., Lee K; Department of Family Medicine, Seoul National University Bundang Hospital, Seongnam, Korea., Han JS; Health Promotion Center, Seoul National University Bundang Hospital, Seongnam, Korea. |
| Source: | Digital health [Digit Health] 2025 Nov 07; Vol. 11, pp. 20552076251395570. Date of Electronic Publication: 2025 Nov 07 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: SAGE Publications Ltd Country of Publication: United States NLM ID: 101690863 Publication Model: eCollection Cited Medium: Print ISSN: 2055-2076 (Print) Linking ISSN: 20552076 NLM ISO Abbreviation: Digit Health Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2055-2076 |
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| DOI: | 10.1177/20552076251395570 |
