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Informing the Design of Individualized Self-Management Regimens from the Human, Data, and Machine Learning Perspectives.

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Title: Informing the Design of Individualized Self-Management Regimens from the Human, Data, and Machine Learning Perspectives.
Authors: Pichon, Adrienne1, ab3886@cumc.columbia.edu, Urteaga, Iñigo2, iurteaga@bcamath.org, Mamykina, Lena3, lena.mamykina@columbia.edu, Elhadad, Noémie4, noemie.elhadad@columbia.edu
Source: ACM Transactions on Computer-Human Interaction (TOCHI); Aug2025, Vol. 32 Issue 4, p1-44, 44p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=187536804
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        Value: 10.1145/3717063
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              Text: Aug2025
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              Y: 2025
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