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Academic Journal

Predicting early mortality and severe intraventricular hemorrhage in very-low birth weight preterm infants: a nationwide, multicenter study using machine learning.

  • Authors : Yang YH; Department of Pediatrics, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, No.138, Sheng Li Road, Tainan, Taiwan.; Wang TT

Subjects: Machine Learning* ; Infant, Very Low Birth Weight* ; Infant, Premature*

  • Source: Scientific reports [Sci Rep] 2024 May 12; Vol. 14 (1), pp. 10833. Date of Electronic Publication: 2024 May 12.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

Short-term neonatal and long-term neurodevelopmental outcome of children born term low birth weight.

  • Authors : Kim HY; Department of Obstetrics and Gynecology, Korea University College of Medicine, 148 Gurodong-Ro, Guro-Gu, Seoul, 08308, Republic of Korea.; Cho GJ

Subjects: Infant, Low Birth Weight* ; Developmental Disabilities*/Developmental Disabilities*/Developmental Disabilities*/epidemiology ; Developmental Disabilities*/Developmental Disabilities*/Developmental Disabilities*/etiology

  • Source: Scientific reports [Sci Rep] 2024 Jan 27; Vol. 14 (1), pp. 2274. Date of Electronic Publication: 2024 Jan 27.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

Multilevel multinomial regression analysis of factors associated with birth weight in sub-Saharan Africa.

  • Authors : Bezie MM; Department of Public Health, Institute of Public Health, College of Medicine and Health Sciences and Comprehensive Specialized Hospital, University of Gondar, Gondar, Ethiopia. .; Tesema GA

Subjects: Infant, Low Birth Weight* ; Birth Weight* ; Fetal Macrosomia*/Fetal Macrosomia*/Fetal Macrosomia*/epidemiology

  • Source: Scientific reports [Sci Rep] 2024 Apr 22; Vol. 14 (1), pp. 9210. Date of Electronic Publication: 2024 Apr 22.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

Predicting severe intraventricular hemorrhage or early death using machine learning algorithms in VLBWI of the Korean Neonatal Network Database.

  • Authors : Kim HH; Department of Pediatrics, Jeonbuk National University School of Medicine, Jeonju, South Korea.; Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, South Korea.

Subjects: Machine Learning* ; Infant, Very Low Birth Weight*; Humans

  • Source: Scientific reports [Sci Rep] 2024 May 15; Vol. 14 (1), pp. 11113. Date of Electronic Publication: 2024 May 15.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

Machine learning-based risk factor analysis of adverse birth outcomes in very low birth weight infants.

  • Authors : Cho H; Department of Pediatrics, Korea University College of Medicine, Anam Hospital, 73 Goryeodae-ro, Seongbuk-gu, Seoul, 02841, Korea.; Department of Pediatrics, Korea University Anam Hospital, Seoul, Korea.

Subjects: Infant, Very Low Birth Weight* ; Pregnancy Complications*; Bayes Theorem

  • Source: Scientific reports [Sci Rep] 2022 Oct 01; Vol. 12 (1), pp. 12119. Date of Electronic Publication: 2022 Oct 01.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

Infant birth weight estimation and low birth weight classification in United Arab Emirates using machine learning algorithms.

  • Authors : Khan W; Department of Computer Science and Software Engineering, College of Information Technology, United Arab Emirates University, 15551, Al Ain, United Arab Emirates.; Big Data Analytics Center, United Arab Emirates University, 15551, Al Ain, United Arab Emirates.

Subjects: Algorithms* ; Infant, Low Birth Weight*; Birth Weight

  • Source: Scientific reports [Sci Rep] 2022 Jul 15; Vol. 12 (1), pp. 12110. Date of Electronic Publication: 2022 Jul 15.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

A feasibility randomized controlled trial of a NICU rehabilitation program for very low birth weight infants.

  • Authors : Letzkus L; Division of Developmental Pediatrics, Department of Pediatrics, University of Virginia, Charlottesville, VA, USA. .; University of Virginia Children's Hospital, PO BOX 800828, Charlottesville, VA, 22908, USA. .

Subjects: Infant, Very Low Birth Weight* ; Intensive Care Units, Neonatal*; Intensive Care, Neonatal/Intensive Care, Neonatal/Intensive Care, Neonatal/*methods

  • Source: Scientific reports [Sci Rep] 2022 Feb 02; Vol. 12 (1), pp. 1729. Date of Electronic Publication: 2022 Feb 02.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

Grain consumption before and during pregnancy and birth weight in Japan: the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study.

  • Authors : Yonezawa Y; Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.; Innovation Division, KAGOME CO., LTD., Nasushiobara, Japan.

Subjects: Edible Grain* ; Infant, Low Birth Weight*; Adult

  • Source: European journal of clinical nutrition [Eur J Clin Nutr] 2022 Feb; Vol. 76 (2), pp. 261-269. Date of Electronic Publication: 2021 Jun 15.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 8804070 Publication Model: Print-Electronic Cited

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Academic Journal

Prevalence of low birth weight and macrosomia estimates based on heaping adjustment method in China.

  • Authors : Shen L; National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Nanwei road No.29, Xicheng district, Beijing, 100050, China.; Wang J

Subjects: Infant, Low Birth Weight*; Fetal Growth Retardation/Fetal Growth Retardation/Fetal Growth Retardation/*epidemiology ; Fetal Macrosomia/Fetal Macrosomia/Fetal Macrosomia/*epidemiology

  • Source: Scientific reports [Sci Rep] 2021 Jul 22; Vol. 11 (1), pp. 15016. Date of Electronic Publication: 2021 Jul 22.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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Academic Journal

Weight change in the first 30 days among infants born less than 2000 grams in Guinea-Bissau and Uganda.

  • Authors : Co R; International Partnership for Human Development, Bissau, Guinea-Bissau.; Nankabirwa V

Subjects: Weight Gain*; Humans ; Uganda/Uganda/Uganda/epidemiology

  • Source: Scientific reports [Sci Rep] 2024 May 14; Vol. 14 (1), pp. 11000. Date of Electronic Publication: 2024 May 14.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited

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