AIMC Topic: Pregnancy Outcome

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Predicting adverse birth outcome among childbearing women in Sub-Saharan Africa: employing innovative machine learning techniques.

BMC public health Jul 29, 2024
BACKGROUND: Adverse birth outcomes, including preterm birth, low birth weight, and stillbirth, remain a major global health challenge, particularly in developing regions. Understanding the possible risk factors is crucial for designing effective inte...
Young Adult Adult Adolescent Pregnancy Outcome Africa South of the Sahara Infant, Low Birth Weight Female Stillbirth Infant, Newborn Premature Birth Risk Factors Humans Machine Learning Pregnancy
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Clinical data-based modeling of IVF live birth outcome and its application.

Reproductive biology and endocrinology : RB&E Jul 8, 2024
BACKGROUND: The low live birth rate and difficult decision-making of the in vitro fertilization (IVF) treatment regimen bring great trouble to patients and clinicians. Based on the retrospective clinical data of patients undergoing the IVF cycle, thi...
Pregnancy Female Adult Embryo Transfer Support Vector Machine Humans Pregnancy Rate Ovulation Induction Neural Networks, Computer Fertilization in Vitro Live Birth Retrospective Studies Pregnancy Outcome Birth Rate
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Predictive analysis on the factors associated with birth Outcomes: A machine learning perspective.

International journal of medical informatics Jun 19, 2024
BACKGROUND: Recent studies reveal that around 1.9 million stillbirths occur annually worldwide, with Sub-Saharan Africa having among the highest cases. Some Sub-Saharan African countries, including Ghana, failed to meet Millennium Development Goal 5 ...
Live Birth Stillbirth Parturition Gestational Age Ghana Pregnancy Female Infant, Newborn Young Adult Adult Pregnancy Outcome Logistic Models Humans Neural Networks, Computer Machine Learning
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Machine learning, advanced data analysis, and a role in pregnancy care? How can we help improve preeclampsia outcomes?

Pregnancy hypertension Jun 13, 2024
The value of machine learning capacity in maternal health, and in particular prediction of preeclampsia will only be realised when there are high quality clinical data provided, representative populations included, different health systems and models...
Humans Artificial Intelligence Female Prenatal Care Pregnancy Outcome Pre-Eclampsia Machine Learning Data Analysis Pregnancy
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Development of a machine learning-based prediction model for clinical pregnancy of intrauterine insemination in a large Chinese population.

Journal of assisted reproduction and genetics May 31, 2024
PURPOSE: This study aimed to evaluate the effectiveness of a random forest (RF) model in predicting clinical pregnancy outcomes from intrauterine insemination (IUI) and identifying significant factors affecting IUI pregnancy in a large Chinese popula...
Male Infertility Follicle Stimulating Hormone Pregnancy Rate China Machine Learning Luteinizing Hormone Humans Pregnancy Outcome ROC Curve Pregnancy Insemination, Artificial East Asian People Female Anti-Mullerian Hormone Adult
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Deep Learning Model Based on Multisequence MRI Images for Assessing Adverse Pregnancy Outcome in Placenta Accreta.

Journal of magnetic resonance imaging : JMRI Oct 18, 2023
BACKGROUND: Preoperative assessment of adverse outcomes risk in placenta accreta spectrum (PAS) disorders is of high clinical relevance for perioperative management and prognosis.
Humans Retrospective Studies Pregnancy Female Deep Learning Pregnancy Outcome Magnetic Resonance Imaging Placenta Placenta Accreta
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An intelligent adverse delivery outcomes prediction model based on the fusion of multiple obstetric clinical data.

Computer methods in biomechanics and biomedical engineering Sep 28, 2023
Adverse delivery outcomes is a major re-productive health problem that affects the physical and mental health of pregnant women. Obviously, obstetric clinical data has periodically time series characteristics. This paper proposed a three stage advers...
Pregnancy Female Pregnancy Outcome Delivery, Obstetric Humans Neural Networks, Computer
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Deep learning analysis of endometrial histology as a promising tool to predict the chance of pregnancy after frozen embryo transfers.

Journal of assisted reproduction and genetics Mar 2, 2023
PURPOSE: Endometrial histology on hematoxylin and eosin (H&E)-stained preparations provides information associated with receptivity. However, traditional histological examination by Noyes' dating method is of limited value as it is prone to subjectiv...
Proof of Concept Study Humans Retrospective Studies Pregnancy Female Pregnancy Rate Deep Learning Pregnancy Outcome Embryo Transfer Endometrium Embryo Implantation
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Application of artificial neural networks in reproductive medicine.

Human fertility (Cambridge, England) Jan 11, 2023
With the emergence of the age of information, the data on reproductive medicine has improved immensely. Nonetheless, healthcare workers who wish to utilise the relevance and implied value of the various data available to aid clinical decision-making ...
Reproductive Medicine Pregnancy Female Humans Pregnancy Outcome Neural Networks, Computer Artificial Intelligence
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Making and selecting the best embryo in the laboratory.

Fertility and sterility Dec 13, 2022
Over the past 4 decades our ability to maintain a viable human embryo in vitro has improved dramatically, leading to higher implantation rates. This has led to a notable shift to single blastocyst transfer and the ensuing elimination of high order mu...
Pregnancy Outcome Female Embryo Implantation Humans Male Blastocyst Semen Artificial Intelligence Pregnancy Rate Pregnancy Fertilization in Vitro
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