Search Results - Joel G. Ray
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1
Infant feeding practices within a large electronic medical record database by Emily Bartsch, Alison L. Park, Jacqueline Young, Joel G. Ray, Karen Tu
Published 2018Call Number: Loading…Connect to this object online.
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2
Prediction of pre-eclampsia in nulliparous women using routinely collected maternal characteristics: a model development and validation study by Ziad T. A. Al-Rubaie, H. Malcolm Hudson, Gregory Jenkins, Imad Mahmoud, Joel G. Ray, Lisa M. Askie, Sarah J. Lord
Published 2020Call Number: Loading…Connect to this object online.
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3
Development and internal validation of a model predicting severe maternal morbidity using pre-conception and early pregnancy variables: a population-based study in Ontario, Canada by Natalie Dayan, Gabriel D. Shapiro, Jin Luo, Jun Guan, Deshayne B. Fell, Carl A. Laskin, Olga Basso, Alison L. Park, Joel G. Ray
Published 2021Call Number: Loading…Connect to this object online.
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4
Diabetes mellitus in pregnancy across Canada by Chantal RM Nelson, Susie Dzakpasu, Aideen M. Moore, Elizabeth K. Darling, Wesley Edwards, Phil Murphy, Heather Scott, Michiel Van Den Hof, Joel G. Ray
Published 2024Call Number: Loading…Connect to this object online.
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5
Gestational weight gain counselling practices among different antenatal health care providers: a qualitative grounded theory study by Beth Murray-Davis, Howard Berger, Nir Melamed, Karizma Mawjee, Maisah Syed, Jon Barrett, Joel G. Ray, Michael Geary, Sarah D. McDonald, for DOH-NET (Diabetes, Obesity and Hypertension in Pregnancy Research Network)
Published 2020Call Number: Loading…Connect to this object online.
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6
Exploring patients' perspectives of gestational diabetes mellitus screening and counselling in Ontario: A grounded theory study by Emma Ruby, Sarah D. McDonald, Howard Berger, Nir Melamed, Jenifer Li, Elizabeth K. Darling, Jon Barrett, Joel G. Ray, Michael Geary, Beth Murray‐Davis, DOH‐NET (Diabetes, Obesity and Hypertension in Pregnancy Research)
Published 2023Call Number: Loading…Connect to this object online.
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7
Predicting adverse outcomes in pregnant patients positive for SARS-CoV-2: a machine learning approach- a retrospective cohort study by Dylan Young, Bita Houshmand, Chunyi Christie Tan, Abirami Kirubarajan, Ashna Parbhakar, Jazleen Dada, Wendy Whittle, Mara L. Sobel, Luis M. Gomez, Mario Rüdiger, Ulrich Pecks, Peter Oppelt, Joel G. Ray, Sebastian R. Hobson, John W. Snelgrove, Rohan D'Souza, Rasha Kashef, Dafna Sussman
Published 2023Call Number: Loading…Connect to this object online.
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