These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

123 related articles for article (PubMed ID: 11641033)

  • 1. Comparison of the prediction of extremely low birth weight neonatal mortality by regression analysis and by neural networks.
    Ambalavanan N; Carlo WA
    Early Hum Dev; 2001 Dec; 65(2):123-37. PubMed ID: 11641033
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction of death for extremely low birth weight neonates.
    Ambalavanan N; Carlo WA; Bobashev G; Mathias E; Liu B; Poole K; Fanaroff AA; Stoll BJ; Ehrenkranz R; Wright LL;
    Pediatrics; 2005 Dec; 116(6):1367-73. PubMed ID: 16322160
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparing very low birth weight versus very low gestation cohort methods for outcome analysis of high risk preterm infants.
    Koller-Smith LI; Shah PS; Ye XY; Sjörs G; Wang YA; Chow SSW; Darlow BA; Lee SK; Håkanson S; Lui K; ; ;
    BMC Pediatr; 2017 Jul; 17(1):166. PubMed ID: 28709451
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prediction of neurologic morbidity in extremely low birth weight infants.
    Ambalavanan N; Nelson KG; Alexander G; Johnson SE; Biasini F; Carlo WA
    J Perinatol; 2000 Dec; 20(8 Pt 1):496-503. PubMed ID: 11190589
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A national short-term follow-Up study of extremely low birth weight infants born in Finland in 1996-1997.
    Tommiska V; Heinonen K; Ikonen S; Kero P; Pokela ML; Renlund M; Virtanen M; Fellman V
    Pediatrics; 2001 Jan; 107(1):E2. PubMed ID: 11134466
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Artificial neural network for risk assessment in preterm neonates.
    Zernikow B; Holtmannspoetter K; Michel E; Pielemeier W; Hornschuh F; Westermann A; Hennecke KH
    Arch Dis Child Fetal Neonatal Ed; 1998 Sep; 79(2):F129-34. PubMed ID: 9828740
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Artificial neural network for predicting intracranial haemorrhage in preterm neonates.
    Zernikow B; Holtmannspoetter K; Michel E; Theilhaber M; Pielemeier W; Hennecke KH
    Acta Paediatr; 1998 Sep; 87(9):969-75. PubMed ID: 9764893
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A comparison of neonatal mortality risk prediction models in very low birth weight infants.
    Pollack MM; Koch MA; Bartel DA; Rapoport I; Dhanireddy R; El-Mohandes AA; Harkavy K; Subramanian KN
    Pediatrics; 2000 May; 105(5):1051-7. PubMed ID: 10790462
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prospective study of early and late outcomes of extremely low birthweight in Central Saudi Arabia.
    Abolfotouh MA; Al Saif S; Altwaijri WA; Al Rowaily MA
    BMC Pediatr; 2018 Aug; 18(1):280. PubMed ID: 30134865
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Early outcome of extremely low birth weight infants in Taiwan.
    Tsao PN; Teng RJ; Wu TJ; Tang JR; Yau KI
    J Formos Med Assoc; 1998 Jul; 97(7):471-6. PubMed ID: 9700244
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Predictive power of serial neonatal therapeutic intervention scoring system scores for short-term mortality in very-low-birth-weight infants.
    Wu PL; Lee WT; Lee PL; Chen HL
    Pediatr Neonatol; 2015 Apr; 56(2):108-13. PubMed ID: 25246194
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting mortality in extremely low birth weight infants: Comparison between gestational age, birth weight, Apgar score, CRIB II score, initial and lowest serum albumin levels.
    Park JH; Chang YS; Ahn SY; Sung SI; Park WS
    PLoS One; 2018; 13(2):e0192232. PubMed ID: 29438382
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comparison of new modeling methods for postnatal weight in ELBW infants using prenatal and postnatal data.
    Porcelli PJ; Rosenbloom ST
    J Pediatr Gastroenterol Nutr; 2014 Jul; 59(1):e2-8. PubMed ID: 24590207
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Application of artificial neural networks to establish a predictive mortality risk model in children admitted to a paediatric intensive care unit.
    Chan CH; Chan EY; Ng DK; Chow PY; Kwok KL
    Singapore Med J; 2006 Nov; 47(11):928-34. PubMed ID: 17075658
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparison of the Combined versus Conventional Apgar Scores in Predicting Adverse Neonatal Outcomes.
    Dalili H; Sheikh M; Hardani AK; Nili F; Shariat M; Nayeri F
    PLoS One; 2016; 11(2):e0149464. PubMed ID: 26871908
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development and Validation of a Mortality Prediction Model in Extremely Low Gestational Age Neonates.
    Moreira A; Benvenuto D; Fox-Good C; Alayli Y; Evans M; Jonsson B; Hakansson S; Harper N; Kim J; Norman M; Bruschettini M
    Neonatology; 2022; 119(4):418-427. PubMed ID: 35598593
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predictors of mortality of extremely low birthweight babies in a tertiary care centre of a developing country.
    Thakur N; Saili A; Kumar A; Kumar V
    Postgrad Med J; 2013 Dec; 89(1058):679-84. PubMed ID: 23922398
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prediction of transfusions in extremely low-birthweight infants in the erythropoietin era.
    Hosono S; Mugishima H; Shimada M; Minato M; Okada T; Takahashi S; Harada K
    Pediatr Int; 2006 Dec; 48(6):572-6. PubMed ID: 17168976
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparison of mortality risk: a score for very low birthweight infants.
    Maier RF; Rey M; Metze BC; Obladen M
    Arch Dis Child Fetal Neonatal Ed; 1997 May; 76(3):F146-50; discussion F150-1. PubMed ID: 9175942
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Placental histopathology in the extremely low birth weight infants.
    Verma RP; Kaplan C; Southerton K; Niwas R; Verma R; Fang H
    Fetal Pediatr Pathol; 2008; 27(2):53-61. PubMed ID: 18568993
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.