Machine learning for predicting intraventricular hemorrhage in preterm infants-Reference-Cited by-同舟云学术

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Machine learning for predicting intraventricular hemorrhage in preterm infants

Published:2023-11-02 Issue: Volume: Page:
ISSN:1756-5383
Container-title:Journal of Evidence-Based Medicine
language:en
Short-container-title:J Evidence Based Medicine

Author:

Zhu Tingting¹²,Yang Yi¹²³,Tang Jun¹²,Xiong Tao¹²^ORCID

Affiliation:

1. Department of Pediatrics West China Second University Hospital Sichuan University Chengdu China

2. Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education Sichuan University Chengdu Sichuan China

3. Department of Pediatric otolaryngology head and neck surgery West China Second University Hospital, Sichuan University Chengdu China

Funder

National Key Research and Development Program of China

China International Medical Foundation

Publisher

Wiley

Subject

Health Policy,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jebm.12561

Reference15 articles.

1. Prevention of preterm birth: harnessing science to address the global epidemic;Rubens CE;Sci Transl Med,2014

2. Periventricular/Intraventricular Hemorrhage and Neurodevelopmental Outcomes: A Meta-analysis

3. Intraventricular Hemorrhage and Neurodevelopmental Outcomes in Extreme Preterm Infants

4. Early Detection of Preterm Intraventricular Hemorrhage From Clinical Electroencephalography

5. A clinical scoring system to predict the development of intraventricular hemorrhage (IVH) in premature infants

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