Search Results - Sima, Yeneabeba Tilahun

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  1. 1
    Leveraging Machine Learning to Identify Subgroups of Misclassified Patients in the Emergency Department: Multicenter Proof-of-Concept Study

    Leveraging Machine Learning to Identify Subgroups of Misclassified Patients in the Emergency Department: Multicenter Proof-of-Concept Study by Wyatt, Sage, Lunde Markussen, Dagfinn, Haizoune, Mounir, Vestbø, Anders Strand, Sima, Yeneabeba Tilahun, Sandboe, Maria Ilene, Landschulze, Marcus, Bartsch, Hauke, Sauer, Christopher Martin

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  2. 2
    Cesarean delivery in Norwegian nulliparous women with singleton cephalic term births, 1967-2020: a population-based study

    Cesarean delivery in Norwegian nulliparous women with singleton cephalic term births, 1967-2020: a population-based study by Sima, Yeneabeba Tilahun, Skjærven, Rolv, Kvalvik, Liv Grimstvedt, Morken, Nils-Halvdan, Klungsøyr, Kari, Sørbye, Linn Marie

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  3. 3
    Birth Weight in Consecutive Pregnancies and Maternal Cardiovascular Disease Mortality Among Spontaneous and Iatrogenic Term Births: A Population-Based Cohort Study

    Birth Weight in Consecutive Pregnancies and Maternal Cardiovascular Disease Mortality Among Spontaneous and Iatrogenic Term Births: A Population-Based Cohort Study by Sima, Yeneabeba Tilahun, Skjaerven, Rolv, Kvalvik, Liv Grimstvedt, Morken, Nils-Halvdan, Klungsøyr, Kari, Mannseth, Janne, Sørbye, Linn Marie

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  4. 4
    The relationship between cesarean delivery and fecundability: a population-based cohort study

    The relationship between cesarean delivery and fecundability: a population-based cohort study by Sima, Yeneabeba Tilahun, Magnus, Maria Christine, Kvalvik, Liv Grimstvedt, Morken, Nils-Halvdan, Klungsøyr, Kari, Skjærven, Rolv, Sørbye, Linn Marie

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  5. 5
    Caesarean Delivery and Women’s Health: Population-Based Studies : Trends, Offspring Birthweight, Fecundability and Maternal Cardiovascular Disease Mortality

    Caesarean Delivery and Women’s Health: Population-Based Studies : Trends, Offspring Birthweight, Fecundability and Maternal Cardiovascular Disease Mortality by Sima, Yeneabeba Tilahun

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  6. 6
    Leveraging Machine Learning to Identify Subgroups of Misclassified Patients in the Emergency Department: Multicenter Proof-of-Concept Study

    Leveraging Machine Learning to Identify Subgroups of Misclassified Patients in the Emergency Department: Multicenter Proof-of-Concept Study by Wyatt, Sage, Markussen, Dagfinn Lunde, Haizoune, Mounir, Vestbø, Anders Strand, Sima, Yeneabeba Tilahun, Sandboe, Maria Ilene, Landschulze, Marcus, Bartsch, Hauke, Sauer, Christopher Martin

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  7. 7
    The relationship between cesarean delivery and fecundability: a population-based cohort study

    The relationship between cesarean delivery and fecundability: a population-based cohort study by Sima, Yeneabeba Tilahun, Magnus, Maria Christine, Kvalvik, Liv Grimstvedt, Morken, Nils-Halvdan, Klungsøyr, Kari, Skjaerven, Rolv, Sørbye, Linn Marie

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  8. 8
    Birth Weight in Consecutive Pregnancies and Maternal Cardiovascular Disease Mortality Among Spontaneous and Iatrogenic Term Births: A Population-Based Cohort Study

    Birth Weight in Consecutive Pregnancies and Maternal Cardiovascular Disease Mortality Among Spontaneous and Iatrogenic Term Births: A Population-Based Cohort Study by Sima, Yeneabeba Tilahun, Skjaerven, Rolv, Kvalvik, Liv Grimstvedt, Morken, Nils-Halvdan, Klungsøyr, Kari, Mannseth, Janne, Sørbye, Linn Marie

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  9. 9
    The relationship between cesarean delivery and fecundability: a population-based cohort study

    The relationship between cesarean delivery and fecundability: a population-based cohort study by Sima, Yeneabeba Tilahun, Magnus, Maria Christine, Kvalvik, Liv Grimstvedt, Morken, Nils-Halvdan, Klungsøyr, Kari, Skjaerven, Rolv, Sørbye, Linn Marie

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  10. 10
    Leveraging Machine Learning to Identify Subgroups of Misclassified Patients in the Emergency Department: Multicenter Proof-of-Concept Study

    Leveraging Machine Learning to Identify Subgroups of Misclassified Patients in the Emergency Department: Multicenter Proof-of-Concept Study by Wyatt, Sage, Lunde Markussen, Dagfinn, Haizoune, Mounir, Vestbø, Anders Strand, Sima, Yeneabeba Tilahun, Sandboe, Maria Ilene, Landschulze, Marcus, Bartsch, Hauke, Sauer, Christopher Martin

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  11. 11
    Leveraging Machine Learning to Identify Subgroups of Misclassified Patients in the Emergency Department: Multicenter Proof-of-Concept Study

    Leveraging Machine Learning to Identify Subgroups of Misclassified Patients in the Emergency Department: Multicenter Proof-of-Concept Study by Wyatt, Sage, Lunde Markussen, Dagfinn, Haizoune, Mounir, Vestbø, Anders Strand, Sima, Yeneabeba Tilahun, Sandboe, Maria Ilene, Landschulze, Marcus, Bartsch, Hauke, Sauer, Christopher Ma

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