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Machine learning prediction of gestational age from metabol..:

Sazawal, Sunil ; Das, Sayan ; Ryckman, Kelli K...
https://researchonline.lshtm.ac.uk/id/eprint/4670647/1/Sazawal-etal-2022-Machine-learning-prediction-of-gestational.pdf. , 2022

Link: https://researchonline.lshtm.ac.uk/id/eprint/4670647/

RT Journal
T1 <Title>Machine learning prediction of gestational age from metabolic screening markers resistant to ambient temperature transportation: Facilitating use of this technology in low resource settings of South Asia and East Africa</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftlshtm:oai:researchonline.lshtm.ac.uk:4670647&Exemplar=1&LAN=DE
				
A1 Sazawal, Sunil
A1 Das, Sayan
A1 Ryckman, Kelli K
A1 Khanam, Rasheda
A1 Nisar, Imran
A1 Deb, Saikat
A1 Jasper, Elizabeth A
A1 Rahman, Sayedur
A1 Mehmood, Usma
A1 Dutta, Arup
A1 Chowdhury, Nabidul Haque
A1 Barkat, Amina
A1 Mittal, Harshita
A1 Ahmed, Salahuddin
A1 Khalid, Farah
A1 Ali, Said Mohammed
A1 Raqib, Rubhana
A1 Ilyas, Muhammad
A1 Nizar, Ambreen
A1 Manu, Alexander
A1 Russell, Donna
A1 Yoshida, Sachiyo
A1 Baqui, Abdullah H
A1 Jehan, Fyezah
A1 Dhingra, Usha
A1 Bahl, Rajiv
PB International Global Health Society
YR 2022
JF https://researchonline.lshtm.ac.uk/id/eprint/4670647/1/Sazawal-etal-2022-Machine-learning-prediction-of-gestational.pdf
LK http://dx.doi.org/https://researchonline.lshtm.ac.uk/id/eprint/4670647/
DO https://researchonline.lshtm.ac.uk/id/eprint/4670647/
SF ELIB - SuUB Bremen

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