Digital Phenotyping in Health Research: Scoping Review of Methods, Gaps, and Opportunities.

Nolwenn Badier¹, Alice Lafitte¹, Audrey Difernand¹, Gloria A Aguayo², Guy Fagherazzi², Jukka-Pekka Onnela³, Benjamin Vittrant⁴, Bastien Lechat⁵, Quentin De Larochelambert¹, Jean-François Toussaint^1,6, Lidia Delrieu¹

¹Institut de Recherche bio-Médicale et d'Epidémiologie du Sport, Paris, Île-de-France, France.

²Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg, Luxembourg.

³Department of Biostatistics, Harvard University, Boston, MA, United States.

⁴Withings (France), Issy-les-Moulineaux, Île-de-France, France.

⁵Sleep Health, Flinders Health and Medical Research Institute, Flinders University, Adelaide, South Australia, Australia.

⁶Center for Investigations in Medicine and Sports, Hôtel-Dieu de Paris, Paris, Île-de-France, France.

PubMed DOI

Abstract

BACKGROUND: Wearable and connected digital devices continuously generate large volumes of real-world behavioral, physiological, and environmental data, offering new opportunities for health monitoring and personalized care. Digital phenotyping has emerged as a promising paradigm; yet, there is limited consensus regarding how such data should be analyzed. Inconsistent analytical practices and insuf…

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