Artificially Intelligent Nanoarray for the Detection of Preeclampsia under Real-World Clinical Conditions-Reference-Cited by-同舟云学术

Artificially Intelligent Nanoarray for the Detection of Preeclampsia under Real-World Clinical Conditions

Published:2016-09-30 Issue:9 Volume:1 Page:1600132
ISSN:2365-709X
Container-title:Advanced Materials Technologies
language:en
Short-container-title:Adv. Mater. Technol.

Author:

Nakhleh Morad K.¹,Baram Shira²³,Jeries Raneen¹,Salim Raed²³,Haick Hossam¹,Hakim Marwan⁴⁵

Affiliation:

1. Department of Chemical Engineering and the Russell Berrie Nanotechnology Institute; Technion - Israel Institute of Technology; Haifa 3200003 Israel

2. Department of Obstetrics and Gynecology; Emek Medical Center; Afula 18101 Israel

3. Rappaport Family Faculty of Medicine; Technion-Israel Institute of Technology; Haifa 31096 Israel

4. Department of Obstetrics and Gynecology; Nazareth Hospital EMMS; Nazareth 16000 Israel

5. Faculty of Medicine in the Galilee; Bar-Ilan University; Ramat-Gan 5290002 Israel

Publisher

Wiley

Subject

Industrial and Manufacturing Engineering,Mechanics of Materials,General Materials Science

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/admt.201600132/fullpdf

Reference34 articles.

1. Secular Trends in the Rates of Preeclampsia, Eclampsia, and Gestational Hypertension, United States, 1987-2004

2. Maternal mortality associated with hypertensive disorders of pregnancy in Africa, Asia, Latin America and the Caribbean

3. Hypertensive Disorders and Severe Obstetric Morbidity in the United States

4. Combining Biochemical and Ultrasonographic Markers in Predicting Preeclampsia: A Systematic Review

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