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"XGBoost Regression of the Most Significant Photoplethysmogram Features for ..."

Hangsik Shin (2022)

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DOI: 10.1109/JBHI.2022.3151091

access: closed

type: Journal Article

metadata version: 2022-07-25

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Hangsik Shin:
XGBoost Regression of the Most Significant Photoplethysmogram Features for Assessing Vascular Aging. IEEE J. Biomed. Health Informatics 26(7): 3354-3361 (2022)

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