[HTML][HTML] The Canadian Adverse Events Study: the incidence of adverse events among hospital patients in Canada
… Ross Baker, Peter Norton, Régis Blais, Adalsteinn Brown, Philip Hébert, Maeve O'Beirne
and Sam Sheps received no funds from private sources before, during or after the conduct of …
and Sam Sheps received no funds from private sources before, during or after the conduct of …
Association between maternal serum 25-hydroxyvitamin D level and pregnancy and neonatal outcomes: systematic review and meta-analysis of observational studies
…, T Nagulesapillai, PE Ronksley, SC Tough, M O'Beirne… - Bmj, 2013 - bmj.com
RESEARCH Page 1 Association between maternal serum 25-hydroxyvitamin D level and
pregnancy and neonatal outcomes: systematic review and meta-analysis of observational …
pregnancy and neonatal outcomes: systematic review and meta-analysis of observational …
The Alberta Pregnancy Outcomes and Nutrition (APrON) cohort study: rationale and methods
…, RC Bell, DP Manca, M O'Beirne… - Maternal & child …, 2014 - Wiley Online Library
The Alberta Pregnancy Outcomes and Nutrition (APrON) study is an ongoing prospective
cohort study that recruits pregnant women early in pregnancy and, as of 2012, is following up …
cohort study that recruits pregnant women early in pregnancy and, as of 2012, is following up …
[HTML][HTML] Anthropogenic climate change has altered primary productivity in Lake Superior
… Sample trays were then placed in a desiccator, sans desiccant, with 12 M HCl for 8 h … How
to cite this article: O’Beirne, MD et al. Anthropogenic climate change has altered … MD O’Beirne …
to cite this article: O’Beirne, MD et al. Anthropogenic climate change has altered … MD O’Beirne …
An ensemble of bayesian neural networks for exoplanetary atmospheric retrieval
…, F Soboczenski, S Zorzan, MD O'Beirne… - The astronomical …, 2019 - iopscience.iop.org
Abstract Machine learning (ML) is now used in many areas of astrophysics, from detecting
exoplanets in Kepler transit signals to removing telescope systematics. Recent work …
exoplanets in Kepler transit signals to removing telescope systematics. Recent work …
[HTML][HTML] Prediction of hypertension using traditional regression and machine learning models: A systematic review and meta-analysis
Objective We aimed to identify existing hypertension risk prediction models developed using
traditional regression-based or machine learning approaches and compare their predictive …
traditional regression-based or machine learning approaches and compare their predictive …
[HTML][HTML] The current recommended vitamin D intake guideline for diet and supplements during pregnancy is not adequate to achieve vitamin D sufficiency for most …
…, JA Maggiore, M O'Beirne, DA Hanley, M Eliasziw… - PloS one, 2016 - journals.plos.org
Background The aims of this study were to determine if pregnant women consumed the
recommended vitamin D through diet alone or through diet and supplements, and if they …
recommended vitamin D through diet alone or through diet and supplements, and if they …
Pregnancy anxiety and preterm birth: The moderating role of sleep.
…, C Dunkel Schetter, T Campbell, M O'Beirne… - Health …, 2019 - psycnet.apa.org
Objective: Preterm birth (PTB) is a prevalent public health concern. Pregnancy anxiety, poor
sleep quality, and short sleep duration have been associated with an increased risk of PTB. …
sleep quality, and short sleep duration have been associated with an increased risk of PTB. …
[HTML][HTML] Viruses of sulfur oxidizing phototrophs encode genes for pigment, carbon, and sulfur metabolisms
…, A Bosco-Santos, SL Garcia, MD O'Beirne… - … Earth & Environment, 2023 - nature.com
Viral infections modulate bacterial metabolism and ecology. Here, we investigated the
hypothesis that viruses influence the ecology of purple and green sulfur bacteria in anoxic and …
hypothesis that viruses influence the ecology of purple and green sulfur bacteria in anoxic and …
[HTML][HTML] A comparison of machine learning algorithms and traditional regression-based statistical modeling for predicting hypertension incidence in a Canadian …
…, AA Leung, RL Walker, KC Sikdar, M O'Beirne… - Scientific Reports, 2023 - nature.com
Risk prediction models are frequently used to identify individuals at risk of developing
hypertension. This study evaluates different machine learning algorithms and compares their …
hypertension. This study evaluates different machine learning algorithms and compares their …