Predicting wellbeing in empty-nesters: an ensemble machine learning approach with data-driven feature selection

Wael Khreich, Mona Ayoub

Open source

DOI: 10.3389/fpsyg.2026.1888784
Published: 2026-07-29
Container: Frontiers in Psychology
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fpsyg.2026.1888784,
  title = {Predicting wellbeing in empty-nesters: an ensemble machine learning approach with data-driven feature selection},
  author = {Wael Khreich and Mona Ayoub},
  year = {2026},
  journal = {Frontiers in Psychology},
  doi = {10.3389/fpsyg.2026.1888784},
  url = {https://doi.org/10.3389/fpsyg.2026.1888784}
}

RIS

TY  - JOUR
TI  - Predicting wellbeing in empty-nesters: an ensemble machine learning approach with data-driven feature selection
AU  - Wael Khreich
AU  - Mona Ayoub
PY  - 2026
JO  - Frontiers in Psychology
DO  - 10.3389/fpsyg.2026.1888784
UR  - https://doi.org/10.3389/fpsyg.2026.1888784
ER  -

APA

Khreich, W., & Ayoub, M. (2026). Predicting wellbeing in empty-nesters: an ensemble machine learning approach with data-driven feature selection. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2026.1888784

Source records

crossref · retrieved 2026-09-26T11:23:48.217Z