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Towards deep phenotyping pregnancy: a systematic review on artificial intelligence and machine learning methods to improve pregnancy outcomes
2021
Briefings in Bioinformatics
The purpose of this study is to systematically review the ways that artificial intelligence (AI) and machine learning (ML), including deep learning (DL), methodologies can inform patient care during pregnancy ...
We identified 127 distinct studies from our queries that were relevant to our topic and included in the review. ...
clinical knowledge base for preterm birth risk assessment Develop an algorithm that is able to identify the anatomic landmarks of the cervix on a transvaginal ultrasound image and determine the standard ...
doi:10.1093/bib/bbaa369
pmid:33406530
pmcid:PMC8424395
fatcat:rgsf4pdmbvdcdmcwz4zf3hwaca
52nd Annual Scientific Congress Sri Lanka College of Obstetricians & Gynaecologists in collaboration with World Gestosis Organization and University of MCGILL, 9th to 11th August 2019,"Towards Excellence in Maternal & Reproductive Health Care"
2019
Sri Lanka Journal of Obstetrics and Gynaecology
We analyzed prospectively all the deliveries except elective caesarean sections from February 2019 to May 2019 at District General Hospital Matale. ...
Com mons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ...
The transvaginal ultrasound scan revealed a normal sized uterus with normal adnexa. The endometrium was uniformly thickened (7mm). ...
doi:10.4038/sljog.v41i5.7892
fatcat:jt7rozgfnfc33ovl5kt7zemoh4
Abstracts of Scientific Presentations 2019 AALAS National Meeting
2019
Journal of the American Association for Laboratory Animal Science
Body weights were taken from weaning to 90 d of age, and again from 133 to 180 d of age. ...
Bite wounds were counted beginning at 133 d of age, as well as video recordings assessing posturing, fighting, biting, and injury as aggressive behaviors. ...
and uterine endometrium. ...
pmid:31547903
pmcid:PMC6774462
fatcat:eq7wjas3fzh3tirhykyvddr3ly
Temperature as a predictor of fouling and diarrhea in slaughter pigs
2016
Livestock Science
Our keynote speaker this year is Professor Peter Vuust from Aarhus University and the Royal Academy of Music. ...
We strive to have a friendly and collaborative environment where you can receive feedback on your research projects from fellow PhD students and supervisors from a wide range of scientific areas. ...
Acknowledgements We thank for the financial support from the EU project PluriSys, HEALTH-2007-B-223485. ...
doi:10.1016/j.livsci.2015.11.007
fatcat:ltydg4mewrbezjydijjhyfw4uu