Machine learning and deep learning-based prediction of hypertension and analysis of its major risk factors in Bangladesh.

Chandra S, Molla MM, Islam S, Rahaman MM, Ali M, Ali MA

Open source

DOI
10.1371/journal.pone.0358471
Published
2026
Container
PloS one
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0358471,
  title = {Machine learning and deep learning-based prediction of hypertension and analysis of its major risk factors in Bangladesh.},
  author = {Chandra S and Molla MM and Islam S and Rahaman MM and Ali M and Ali MA},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0358471},
  url = {https://doi.org/10.1371/journal.pone.0358471}
}

RIS

TY  - JOUR
TI  - Machine learning and deep learning-based prediction of hypertension and analysis of its major risk factors in Bangladesh.
AU  - Chandra S
AU  - Molla MM
AU  - Islam S
AU  - Rahaman MM
AU  - Ali M
AU  - Ali MA
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0358471
UR  - https://doi.org/10.1371/journal.pone.0358471
ER  - 

APA

S, C., MM, M., S, I., MM, R., M, A., & MA, A. (2026). Machine learning and deep learning-based prediction of hypertension and analysis of its major risk factors in Bangladesh.. PloS one. https://doi.org/10.1371/journal.pone.0358471

Source records