Design and implementation of a hybrid machine learning framework for predicting heart rate status.

Emami M, Salehbagheri N, Rajebi S, Pedrammehr S, Shirini K

DOI: 10.1038/s41598-026-53054-w
Published: 2026 May 16
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-53054-w,
  title = {Design and implementation of a hybrid machine learning framework for predicting heart rate status.},
  author = {Emami M and Salehbagheri N and Rajebi S and Pedrammehr S and Shirini K},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-53054-w},
  url = {https://doi.org/10.1038/s41598-026-53054-w}
}

RIS

TY  - JOUR
TI  - Design and implementation of a hybrid machine learning framework for predicting heart rate status.
AU  - Emami M
AU  - Salehbagheri N
AU  - Rajebi S
AU  - Pedrammehr S
AU  - Shirini K
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-53054-w
UR  - https://doi.org/10.1038/s41598-026-53054-w
ER  -

APA

M, E., N, S., S, R., S, P., & K, S. (2026). Design and implementation of a hybrid machine learning framework for predicting heart rate status.. Scientific reports. https://doi.org/10.1038/s41598-026-53054-w

Source records

pubmed · retrieved 2026-09-26T00:23:36.778Z