Perinatal health predictors using artificial intelligence: A review.

Ramakrishnan R, Rao S, He JR

Open source

DOI
10.1177/17455065211046132
Published
2021 Jan-Dec
Container
Women's health (London, England)
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:10.1177/17455065211046132,
  title = {Perinatal health predictors using artificial intelligence: A review.},
  author = {Ramakrishnan R and Rao S and He JR},
  year = {2021},
  journal = {Women's health (London, England)},
  doi = {10.1177/17455065211046132},
  url = {https://doi.org/10.1177/17455065211046132}
}

RIS

TY  - JOUR
TI  - Perinatal health predictors using artificial intelligence: A review.
AU  - Ramakrishnan R
AU  - Rao S
AU  - He JR
PY  - 2021
JO  - Women's health (London, England)
DO  - 10.1177/17455065211046132
UR  - https://doi.org/10.1177/17455065211046132
ER  - 

APA

R, R., S, R., & JR, H. (2021). Perinatal health predictors using artificial intelligence: A review.. Women's health (London, England). https://doi.org/10.1177/17455065211046132

Source records