Showing 1 - 7 results of 7 for search 'Joel G. Ray', query time: 0.06s Refine Results
  1. 1
    Infant feeding practices within a large electronic medical record database

    Infant feeding practices within a large electronic medical record database by Emily Bartsch, Alison L. Park, Jacqueline Young, Joel G. Ray, Karen Tu

    Published 2018
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  2. 2
    Prediction of pre-eclampsia in nulliparous women using routinely collected maternal characteristics: a model development and validation study

    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 2020
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  3. 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

    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 2021
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  4. 4
    Diabetes mellitus in pregnancy across Canada

    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 2024
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  5. 5
    Gestational weight gain counselling practices among different antenatal health care providers: a qualitative grounded theory study

    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 2020
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  6. 6
    Exploring patients' perspectives of gestational diabetes mellitus screening and counselling in Ontario: A grounded theory study

    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 2023
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  7. 7
    Predicting adverse outcomes in pregnant patients positive for SARS-CoV-2: a machine learning approach- a retrospective cohort study

    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 2023
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