Publication:
Machine learning prediction of hypertension and diabetes in twin pregnancies using characteristics at prenatal care entry: a nationwide study

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Organizational Unit
SCHOOL OF MEDICINE
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KU Authors

Co-Authors

Mustafa HJ,
Prasad S
Heydari MH
Nunge RN
Khalil A.

Date

2024

Language

Type

Journal Article

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N/A

Journal Title

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Alternative Title

Abstract

BAKILACAK

Source

Publisher

Wiley

Keywords

Obstetrics and gynecology

Citation

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Source

Ultrasound in Obstetrics and Gynecology

Book Series Title

Edition

DOI

10.1002/uog.27710

URI

https://doi.org/10.1002/uog.27710
 https://hdl.handle.net/20.500.14288/23215

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GoalOpen Access
02 - Zero Hunger
Hunger is the leading cause of death in the world. Our planet has provided us with tremendous resources, but unequal access and inefficient handling leaves millions of people malnourished. If we promote sustainable agriculture with modern technologies and fair distribution systems, we can sustain the whole world’s population and make sure that nobody will ever suffer from hunger again.
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GoalOpen Access

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