Closing the gap on institutional delivery in northern India: a case study of how integrated machine learning approaches can enable precision public health
- DOI
- 10.1136/bmjgh-2020-002340
- Published
- 2020-10
- Container
- BMJ Global Health
- Publisher
- BMJ
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1136/bmjgh-2020-002340,
title = {Closing the gap on institutional delivery in northern India: a case study of how integrated machine learning approaches can enable precision public health},
author = {Vincent S Huang and Kasey Morris and Mokshada Jain and Banadakoppa Manjappa Ramesh and Hannah Kemp and James Blanchard and Shajy Isac and Bidyut Sarkar and Vikas Gothalwal and Vasanthakumar Namasivayam and Pankaj Kumar and Sema K Sgaier},
year = {2020},
journal = {BMJ Global Health},
doi = {10.1136/bmjgh-2020-002340},
url = {https://doi.org/10.1136/bmjgh-2020-002340}
}RIS
TY - JOUR TI - Closing the gap on institutional delivery in northern India: a case study of how integrated machine learning approaches can enable precision public health AU - Vincent S Huang AU - Kasey Morris AU - Mokshada Jain AU - Banadakoppa Manjappa Ramesh AU - Hannah Kemp AU - James Blanchard AU - Shajy Isac AU - Bidyut Sarkar AU - Vikas Gothalwal AU - Vasanthakumar Namasivayam AU - Pankaj Kumar AU - Sema K Sgaier PY - 2020 JO - BMJ Global Health DO - 10.1136/bmjgh-2020-002340 UR - https://doi.org/10.1136/bmjgh-2020-002340 ER -
APA
Huang, V. S., Morris, K., Jain, M., Ramesh, B. M., Kemp, H., Blanchard, J., Isac, S., Sarkar, B., Gothalwal, V., Namasivayam, V., Kumar, P., & Sgaier, S. K. (2020). Closing the gap on institutional delivery in northern India: a case study of how integrated machine learning approaches can enable precision public health. BMJ Global Health. https://doi.org/10.1136/bmjgh-2020-002340
Source records
- crossref · retrieved 2026-09-26T04:46:34.020Z