Longitudinal Mood Monitoring and Classification of Self-Reported Mental Health Status Using Feels.ai: Feasibility Study.

Akpalu P

DOI: 10.7759/cureus.117257
Published: 2026 Sep
Container: Cureus
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.7759/cureus.117257,
  title = {Longitudinal Mood Monitoring and Classification of Self-Reported Mental Health Status Using Feels.ai: Feasibility Study.},
  author = {Akpalu P},
  year = {2026},
  journal = {Cureus},
  doi = {10.7759/cureus.117257},
  url = {https://doi.org/10.7759/cureus.117257}
}

RIS

TY  - JOUR
TI  - Longitudinal Mood Monitoring and Classification of Self-Reported Mental Health Status Using Feels.ai: Feasibility Study.
AU  - Akpalu P
PY  - 2026
JO  - Cureus
DO  - 10.7759/cureus.117257
UR  - https://doi.org/10.7759/cureus.117257
ER  -

APA

P, A. (2026). Longitudinal Mood Monitoring and Classification of Self-Reported Mental Health Status Using Feels.ai: Feasibility Study.. Cureus. https://doi.org/10.7759/cureus.117257

Source records

pubmed · retrieved 2026-11-10T08:14:37.794Z