Technologies for Prediction of Preeclampsia-Reference-Cited by-同舟云学术

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Technologies for Prediction of Preeclampsia

Published:2020-10 Issue:5 Volume:12 Page:78
ISSN:2076-4243
Container-title:Sovremennye tehnologii v medicine
language:
Short-container-title:Sovrem Tehnol Med

Author:

Rokоtyanskаya E.A.,Panova I.A.,Malyshkina A.I.,Fetisova I.N.,Fetisov N.S.,Kharlamova N.V.,Kuligina M.V.

Publisher

Journal Sovremennye Tehnologii v Medicine

Subject

General Biochemistry, Genetics and Molecular Biology,General Medicine

Cited by 7 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. Medical and biological risk factors for the development of pre-eclampsia of variable severity in pregnant women with chronic arterial hypertension;Russian Journal of Human Reproduction;2024

2. Prediction of Hypertensive Disorders in Pregnancy using Machine Learning Algorithms;2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES);2023-12-14

3. The use of artificial intelligence to diagnose diseases and predict their outcomes in newborns;Rossiyskiy Vestnik Perinatologii i Pediatrii (Russian Bulletin of Perinatology and Pediatrics);2023-09-07

4. Prediction of Preeclampsia Using Machine Learning and Deep Learning Models: A Review;Big Data and Cognitive Computing;2023-02-09

5. Is high normotension a norm or a risk factor for perinatal complications: prospective cohort study;Consilium Medicum;2022-11-10

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