General feature selection technique supporting sex-debiasing in chronic illness algorithms validated using wearable device data

General feature selection technique supporting sex-debiasing in chronic illness algorithms validated using wearable device data

Abstract In tasks involving human health condition data, feature selection is heavily affected by data types, the complexity of the condition manifestation, and the variability in physiological presentation. One type of variability often overlooked or oversimplified is the effect of biological sex....

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Main Authors: Jamison H. Burks, Lauryn Keeler Bruce, Patrick Kasl, Severine Soltani, Varun Viswanath, Wendy Hartogensis, Stephan Dilchert, Frederick M. Hecht, Subhasis Dasgupta, Ilkay Altintas, Amarnath Gupta, Ashley E. Mason, Benjamin L. Smarr
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:npj Women's Health
Online Access:https://doi.org/10.1038/s44294-024-00041-z
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https://doi.org/10.1038/s44294-024-00041-z

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