Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Filters

My NCBI Filters

Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1994 2
2000 4
2002 2
2005 1
2008 2
2009 2
2011 2
2012 4
2014 5
2015 9
2016 5
2017 8
2018 7
2019 10
2020 14
2021 10
2022 3
2023 1
2024 0

Text availability

Article attribute

Article type

Publication date

Similar articles for PMID: 34104876

78 results

Results by year

Filters applied: . Clear all
Page 1
External validation of machine learning models including newborn metabolomic markers for postnatal gestational age estimation in East and South-East Asian infants.
Hawken S, Murphy MSQ, Ducharme R, Bota AB, Wilson LA, Cheng W, Tumulak MJ, Alcausin MML, Reyes ME, Qiu W, Potter BK, Little J, Walker M, Zhang L, Padilla C, Chakraborty P, Wilson K. Hawken S, et al. Gates Open Res. 2021 Jun 21;4:164. doi: 10.12688/gatesopenres.13131.2. eCollection 2020. Gates Open Res. 2021. PMID: 34104876 Free PMC article.
Development and external validation of machine learning algorithms for postnatal gestational age estimation using clinical data and metabolomic markers.
Hawken S, Ducharme R, Murphy MSQ, Olibris B, Bota AB, Wilson LA, Cheng W, Little J, Potter BK, Denize KM, Lamoureux M, Henderson M, Rittenhouse KJ, Price JT, Mwape H, Vwalika B, Musonda P, Pervin J, Chowdhury AKA, Rahman A, Chakraborty P, Stringer JSA, Wilson K. Hawken S, et al. PLoS One. 2023 Mar 6;18(3):e0281074. doi: 10.1371/journal.pone.0281074. eCollection 2023. PLoS One. 2023. PMID: 36877673 Free PMC article.
Machine learning guided postnatal gestational age assessment using new-born screening metabolomic data in South Asia and sub-Saharan Africa.
Sazawal S, Ryckman KK, Das S, Khanam R, Nisar I, Jasper E, Dutta A, Rahman S, Mehmood U, Bedell B, Deb S, Chowdhury NH, Barkat A, Mittal H, Ahmed S, Khalid F, Raqib R, Manu A, Yoshida S, Ilyas M, Nizar A, Ali SM, Baqui AH, Jehan F, Dhingra U, Bahl R. Sazawal S, et al. BMC Pregnancy Childbirth. 2021 Sep 7;21(1):609. doi: 10.1186/s12884-021-04067-y. BMC Pregnancy Childbirth. 2021. PMID: 34493237 Free PMC article.
Validation of gestational age determination from ultrasound or a metabolic gestational age algorithm using exact date of conception in a cohort of newborns conceived using assisted reproduction technologies.
Hawken S, Olibris B, Ducharme R, Bota AB, Murray JC, Potter BK, Walker M, Chakraborty P, Wilson K. Hawken S, et al. AJOG Glob Rep. 2022 Aug 26;2(4):100091. doi: 10.1016/j.xagr.2022.100091. eCollection 2022 Nov. AJOG Glob Rep. 2022. PMID: 36536852 Free PMC article.
Real world external validation of metabolic gestational age assessment in Kenya.
Hawken S, Ward V, Bota AB, Lamoureux M, Ducharme R, Wilson LA, Otieno N, Munga S, Nyawanda BO, Atito R, Stevenson DK, Chakraborty P, Darmstadt GL, Wilson K. Hawken S, et al. PLOS Glob Public Health. 2022 Nov 28;2(11):e0000652. doi: 10.1371/journal.pgph.0000652. eCollection 2022. PLOS Glob Public Health. 2022. PMID: 36962760 Free PMC article.
Using AMANHI-ACT cohorts for external validation of Iowa new-born metabolic profiles based models for postnatal gestational age estimation.
Sazawal S, Ryckman KK, Mittal H, Khanam R, Nisar I, Jasper E, Rahman S, Mehmood U, Das S, Bedell B, Chowdhury NH, Barkat A, Dutta A, Deb S, Ahmed S, Khalid F, Raqib R, Ilyas M, Nizar A, Ali SM, Manu A, Yoshida S, Baqui AH, Jehan F, Dhingra U, Bahl R. Sazawal S, et al. J Glob Health. 2021 Jul 17;11:04044. doi: 10.7189/jogh.11.04044. eCollection 2021. J Glob Health. 2021. PMID: 34326994 Free PMC article.
78 results