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Explaining Clustering of Ecological Momentary Assessment Data Through Temporal and Feature Attention
In the field of psychopathology, Ecological Momentary Assessment (EMA) studies offer rich individual data on psychopathology-relevant variables (e.g., affect, behavior, etc) in real-time. EMA data is collected dynamically, represented as complex mult
Externí odkaz:
http://arxiv.org/abs/2405.04854
In the evolving field of psychopathology, the accurate assessment and forecasting of data derived from Ecological Momentary Assessment (EMA) is crucial. EMA offers contextually-rich psychopathological measurements over time, that practically lead to
Externí odkaz:
http://arxiv.org/abs/2403.19442
Through Ecological Momentary Assessment (EMA) studies, a number of time-series data is collected across multiple individuals, continuously monitoring various items of emotional behavior. Such complex data is commonly analyzed in an individual level,
Externí odkaz:
http://arxiv.org/abs/2310.07491
In the field of psychopathology, Ecological Momentary Assessment (EMA) methodological advancements have offered new opportunities to collect time-intensive, repeated and intra-individual measurements. This way, a large amount of data has become avail
Externí odkaz:
http://arxiv.org/abs/2212.01159
Publikováno v:
International Journal of Methods in Psychiatric Research, Vol 33, Iss 3, Pp n/a-n/a (2024)
Abstract Objectives The network approach to psychopathology posits that mental disorders emerge from dynamic interactions among psychopathology‐relevant variables. Ecological Momentary Assessment (EMA) is frequently used to assess these variables i
Externí odkaz:
https://doaj.org/article/22fa44d380fc459da818eb369f6011e1
Previous research on EMA data of mental disorders was mainly focused on multivariate regression-based approaches modeling each individual separately. This paper goes a step further towards exploring the use of non-linear interpretable machine learnin
Externí odkaz:
http://arxiv.org/abs/2204.01689
Autor:
Roefs, Edith C.J., Oosterheert, Ida E., Leeman, Yvonne A.M., van der Veld, William M., Meijer, Paulien C.
Publikováno v:
In Teaching and Teacher Education August 2024 146
Autor:
Wester, Mara-Louise *, Sampon, Fleur *, Olsthoorn, Jules R. *, Soliman-Hamad, Mohamed A. *, Houterman, Saskia, Maas, Angela H.E.M., Roefs, Maaike M., Meesters, Michael I., ter Woorst, Joost F.J. *
Publikováno v:
In Journal of Cardiothoracic and Vascular Anesthesia April 2024 38(4):924-930
Autor:
Wester, Mara-Louise, Olsthoorn, Jules R., A Soliman-Hamad, Mohamed, Houterman, Saskia, Roefs, Maaike M., Maas, Angela HEM., ter Woorst, Joost FJ.
Publikováno v:
In Heliyon 15 January 2024 10(1)
Autor:
Marieke Theodora Roefs, Julia Bauzá-Martinez, Simonides Immanuel van de Wakker, Jiabin Qin, Willem Theodoor Olijve, Robin Tuinte, Marjolein Rozeboom, Christian Snijders Blok, Emma Alise Mol, Wei Wu, Pieter Vader, Joost Petrus Gerardus Sluijter
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-16 (2023)
Abstract Extracellular vesicles (EVs) are cell-derived lipid bilayer-enclosed particles that play a role in intercellular communication. Cardiac progenitor cell (CPC)-derived EVs have been shown to protect the myocardium against ischemia-reperfusion
Externí odkaz:
https://doaj.org/article/27db586875664b9cb4dbdeb36d2d3c0f