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A machine learning model for the prediction of down syndrome in second trimester antenatal screening

  • Published:2021-10 Issue: Volume:521 Page:206-211
  • ISSN:0009-8981
  • Container-title:Clinica Chimica Acta
  • language:en
  • Short-container-title:Clinica Chimica Acta

Author:

He Falin,Lin Bo,Mou Kai,Jin Lizi,Liu Juntao

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Biochemistry (medical),Clinical Biochemistry,Biochemistry,General Medicine

Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Applying machine learning in screening for Down Syndrome in both trimesters for diverse healthcare scenarios;Heliyon;2024-08

2. Smart Ultrasound Imaging and Soft Computing Analysis;Advances in Medical Technologies and Clinical Practice;2024-07-12

3. Early Detection of Birth Defects Using Machine Learning;Advances in Medical Technologies and Clinical Practice;2024-07-12

4. Early Detection of Down Syndrome Through Ultrasound Imaging Using Deep Learning Strategies — A Review;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22

5. Artificial intelligence for prenatal chromosome analysis;Clinica Chimica Acta;2024-01
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