Predicting Positive Psychological States using Machine Learning and Digital Biomarkers from Everyday Wearable Data

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title = "Predicting Positive Psychological States using Machine Learning and Digital Biomarkers from Everyday Wearable Data",

author = "Lingxi Wu and Arlene John and \{Piano Simoes\}, Jorge",

year = "2025",

month = apr,

day = "28",

doi = "10.1101/2025.04.26.25326492",

language = "English",

publisher = "MedRxiv",

address = "United States",

type = "WorkingPaper",

institution = "MedRxiv",

}

TY - UNPB

T1 - Predicting Positive Psychological States using Machine Learning and Digital Biomarkers from Everyday Wearable Data

AU - Wu, Lingxi

AU - John, Arlene

AU - Piano Simoes, Jorge

PY - 2025/4/28

Y1 - 2025/4/28

U2 - 10.1101/2025.04.26.25326492

DO - 10.1101/2025.04.26.25326492

M3 - Preprint

BT - Predicting Positive Psychological States using Machine Learning and Digital Biomarkers from Everyday Wearable Data

PB - MedRxiv

ER -