A study on preterm birth predictions using physiological signals, medical health record information and low‐dimensional embedding methods
Author:
Affiliation:
1. Nsugbe Research Labs Swindon UK
2. Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China
3. Department of Automatic Control and Systems Engineering The University of Sheffield Sheffield UK
Publisher
Institution of Engineering and Technology (IET)
Subject
General Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/csy2.12031
Reference62 articles.
1. Born Too Soon: The global epidemiology of 15 million preterm births
2. Ophthalmological problems associated with preterm birth
3. Health and hospitalisations after discharge in extremely low birth weight infants
4. Neurologic and Developmental Disability at Six Years of Age after Extremely Preterm Birth
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