R. Zhang

ORCID: 0000-0002-0917-343X
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About
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Research Areas
  • Congenital Anomalies and Fetal Surgery
  • Prenatal Screening and Diagnostics
  • Opinion Dynamics and Social Influence
  • Assisted Reproductive Technology and Twin Pregnancy
  • Advanced Graph Neural Networks
  • Complex Network Analysis Techniques
  • Parvovirus B19 Infection Studies

Southwest Petroleum University
2023

Army Medical University
2014

Southwest Hospital
2014

Target (United States)
2014

Sun Yat-sen Memorial Hospital
2014

Sun Yat-sen University
2014

To evaluate the performance of a massively parallel sequencing (MPS)-based test in detecting fetal sex chromosome aneuploidy (SCA) and to present comprehensive clinical counseling protocol for SCA-positive patients.This was retrospective study large patient cohort 5950 singleton pregnancies which underwent MPS-based testing as prenatal screening trisomies 21, 18 13, with X Y chromosomes secondary findings, Southwest Hospital China. women were offered choice knowing whether their SCA results...

10.1002/uog.13361 article EN Ultrasound in Obstetrics and Gynecology 2014-03-10

Purpose: The purpose of this study was to evaluate the relationship between fetal karyotype and parental chromosomal abnormalities, assess long-term reproductive outcomes in couples with recurrent miscarriages (RM). Materials Methods: 34 abnormal karyotypes RM were investigated. Ultrasound examinations performed during pregnancy, determined following miscarriages, successful pregnancy recorded. Results: Of couples, 20 individuals presented specifically nine females 11 males (45% vs 55%,...

10.12891/ceog15912014 article EN Clinical and Experimental Obstetrics & Gynecology 2014-06-10

Finding important nodes in complex networks is an topic. However, the location information obtained by many previous studies not sufficient and effective, types of attributes applied also have limitations. Based on K-shell gravity model, this paper proposes a node importance measurement method based multi-attribute fusion. In method, objective, comprehensive evaluation multiple entropy weight method. Experiments real show that proposed algorithm can effectively measure nodes.

10.1142/s0217984923500768 article EN Modern Physics Letters B 2023-05-26
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