Application of machine-learning to predict early spontaneous preterm birth among nulliparous non-Hispanic black and white women

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Application of machine-learning to predict early spontaneous preterm birth among nulliparous non-Hispanic black and white women

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im November 2018 veröffentlichter wissenschaftlicher Artikel

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wetenschappelijk artikel

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наукова стаття, опублікована в листопаді 2018

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Application of machine-learnin ...... Hispanic black and white women

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Application of machine-learnin ...... Hispanic black and white women

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Application of machine-learnin ...... Hispanic black and white women

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Application of machine-learnin ...... Hispanic black and white women

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Application of machine-learnin ...... Hispanic black and white women

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Application of machine-learnin ...... Hispanic black and white women

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Application of machine-learnin ...... Hispanic black and white women

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David K Stevenson

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Gary L Darmstadt

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Gary M Shaw

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Megan E Foeller

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Susan Gruber

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Suzan L Carmichael

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Regularization Paths for Generalized Linear Models via Coordinate Descent

A proposed method to predict preterm birth using clinical data, standard maternal serum screening, and cholesterol.

The preterm prediction study: effect of gestational age and cause of preterm birth on subsequent obstetric outcome. National Institute of Child Health and Human Development Maternal-Fetal Medicine Units Network.

Spontaneous preterm birth, a clinical dilemma: etiologic, pathophysiologic and genetic heterogeneities and racial disparity.

Born too soon: the global epidemiology of 15 million preterm births.

Racial disparities in preterm birth.

Vital statistics linked birth/infant death and hospital discharge record linkage for epidemiological studies.

Social disadvantage and the black-white disparity in spontaneous preterm delivery among California births.

The epidemiology, etiology, and costs of preterm birth.

Predictive Accuracy of Serial Transvaginal Cervical Lengths and Quantitative Vaginal Fetal Fibronectin Levels for Spontaneous Preterm Birth Among Nulliparous Women.

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783-789.e1

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scholarly article

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10.1016/J.ANNEPIDEM.2018.08.008

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English

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Ann Weber

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2018-11-01T00:00:00Z

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30236415

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prediction