Evaluation of deep learning-based depression detection using medical claims data

Publication: Scientific journal › Journal article › peer-review

Original language	English
Article number	102745
Journal	Artificial Intelligence in Medicine
Volume	147
Issue number	January 2024
DOIs	https://doi.org/10.1016/j.artmed.2023.102745
Publication status	Published - Jan 2024
Externally published	Yes

Access to Document

@article{32681a33c9f040ec86ec50afc900e75a,

title = "Evaluation of deep learning-based depression detection using medical claims data",

author = "Markus Bertl and Nzamba Bignoumba and Peeter Ross and Yahia, \{Sadok Ben\} and Dirk Draheim",

year = "2024",

month = jan,

doi = "10.1016/j.artmed.2023.102745",

language = "English",

volume = "147",

journal = "Artificial Intelligence in Medicine",

issn = "0933-3657",

publisher = "Elsevier B.V.",

number = "January 2024",

}

TY - JOUR

T1 - Evaluation of deep learning-based depression detection using medical claims data

AU - Bertl, Markus

AU - Bignoumba, Nzamba

AU - Ross, Peeter

AU - Yahia, Sadok Ben

AU - Draheim, Dirk

PY - 2024/1

Y1 - 2024/1

U2 - 10.1016/j.artmed.2023.102745

DO - 10.1016/j.artmed.2023.102745

M3 - Journal article

SN - 0933-3657

VL - 147

JO - Artificial Intelligence in Medicine

JF - Artificial Intelligence in Medicine

IS - January 2024

M1 - 102745

ER -