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  1. Jul 14, 2021 · 3439 Accesses. 14 Citations. 3 Altmetric. Metrics. Abstract. Mortality remains an exceptional burden of extremely preterm birth. Current clinical mortality prediction scores are calculated using...

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  2. Oct 1, 2021 · This guideline includes 25 recommendations and 1 good practice statement (summarized in Table 1 in the executive summary and presented in detail in this chapter) for care of the preterm (born before 37 weeks’ gestation) or low-birth-weight (LBW; < 2.5 kg) infant. Of the recommendations, 11 are new and 14 are updated, and the good practice statement is new. There are 11 strong recommendations ...

    • 2022
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  4. Feb 7, 2021 · The main results of this study were: (1) At 24 weeks’ gestation, only 10% of women had CL < 26 mm; (2) The risk of PTB was inversely related to CL; (3) a CL < 26 mm at 24 weeks had a better predictive value compared to CL < 26 mm at 28 weeks (RR 6.1 vs. 5.3) for predicting PTB < 35 weeks.

    • Lee Reicher, Yuval Fouks, Yuval Fouks, Yariv Yogev, Yariv Yogev
    • 2021
  5. Nov 15, 2022 · New WHO recommendations for the care of preterm or low birthweight infants have the potential to transform maternal and newborn health-care delivery - The Lancet. Comment | Volume 400, ISSUE 10366, P1828-1831, November 26, 2022. Download Full Issue.

  6. Apr 15, 2024 · Prediction and prevention of preterm birth: Quality assessment and systematic review of clinical practice guidelines using the AGREE II framework - Ramachandran - International Journal of Gynecology & Obstetrics - Wiley Online Library.

  7. Mar 18, 2020 · To compare the prognostic accuracy of six neonatal illness severity scores (CRIB, CRIB II, SNAP, SNAP II, SNAP-PE, and SNAP-PE II), birthweight (BW), and gestational age (GA) for predicting...

    • Jennifer S McLeod, Anitha Menon, Niki Matusko, Gary M Weiner, Samir K Gadepalli, John Barks, George ...
    • 2020
  8. Jun 7, 2022 · Tools. BACKGROUND AND OBJECTIVES. Outcome prediction of preterm birth is important for neonatal care, yet prediction performance using conventional statistical models remains insufficient. Machine learning has a high potential for complex outcome prediction.

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