Mobile phone-based unobtrusive ecological momentary assessment of day-to-day mood: an explorative study

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    Niranjan P. Bidargaddi, Richard E. Leibbrandt, Tamara L. Paget, Johan W. H. Verjans, Jeffrey CL Looi, Jessica M. Lipschitz · 2024 · Digital Health
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    Luís A. Castro, Marcela D. Rodríguez, Fernando Martínez, Luis-Felipe Rodríguez, Ángel G. Andrade, Raymundo Cornejo · 2018 · Elsevier eBooks
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63. Correction
    2020 · Journal of the American Academy of Child & Adolescent Psychiatry
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    Yola El Dahr, Florence Perquier, Madison Moloney, Roksana Dobrin-De Grace, Guyyunge Woo, Daniela Carvalho, Nicole Addario, Emily E. Cameron, Leslie E. Roos, Péter Szatmári et al. · 2022
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    Carlos Ferrás Sexto · 2018 · Boletín de la Asociación de Geógrafos Españoles
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    Yasser Khazaal · 2018 · Elsevier eBooks
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    Carlos Ferrás Sexto, Yolanda García · 2019 · MEDICA REVIEW International Medical Humanities Review / Revista Internacional de Humanidades Médicas
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    Felix Beierle · 2021 · T-labs series in telecommunication services
75. Peer Review #1 of "The relationship between mobile phone location sensor data and depressive symptom severity (v0.1)"
    2016 · PeerJ
76. Peer Review #2 of "The relationship between mobile phone location sensor data and depressive symptom severity (v0.1)"
    2016 · PeerJ
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    Gert‐Jan de Bruijn, Fakhra Jabeen, Tibor Bosse · 2025
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