Literature DB >> 26241982

First Trimester Noninvasive Prenatal Diagnosis: A Computational Intelligence Approach.

Andreas C Neocleous, Kypros H Nicolaides, Christos N Schizas.   

Abstract

The objective of this study is to examine the potential value of using machine learning techniques such as artificial neural network (ANN) schemes for the noninvasive estimation, at 11-13 weeks of gestation, the risk for euploidy, trisomy 21 (T21), and other chromosomal aneuploidies (O.C.A.), from suitable sonographic, biochemical markers, and other relevant data. A database(1) (1)The dataset can become available for academic purposes by communicating directly with the authors.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 26241982     DOI: 10.1109/JBHI.2015.2462744

Source DB:  PubMed          Journal:  IEEE J Biomed Health Inform        ISSN: 2168-2194            Impact factor:   5.772


  3 in total

1.  Application of intelligent algorithms in Down syndrome screening during second trimester pregnancy.

Authors:  Hong-Guo Zhang; Yu-Ting Jiang; Si-Da Dai; Ling Li; Xiao-Nan Hu; Rui-Zhi Liu
Journal:  World J Clin Cases       Date:  2021-06-26       Impact factor: 1.337

Review 2.  Intelligent systems in obstetrics and midwifery: Applications of machine learning.

Authors:  Stavroula Barbounaki; Victoria G Vivilaki
Journal:  Eur J Midwifery       Date:  2021-12-20

Review 3.  Diagnosis support systems for rare diseases: a scoping review.

Authors:  Carole Faviez; Xiaoyi Chen; Nicolas Garcelon; Antoine Neuraz; Bertrand Knebelmann; Rémi Salomon; Stanislas Lyonnet; Sophie Saunier; Anita Burgun
Journal:  Orphanet J Rare Dis       Date:  2020-04-16       Impact factor: 4.123

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.