Perinatal Health Predictors Review
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Perinatal health predictors using artificial intelligence: A review
(3 days ago) WEBProgress in perinatal health has been made in the past decades worldwide, represented by the decreased maternal and neonatal mortality, low birthweight (LBW), and preterm birth (PTB) rates. Recent studies have shown that artificial intelligence (AI) has the potential to accelerate this progress. This review aims to present an overview of
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8445524/
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Perinatal health predictors using artificial intelligence: A review
(1 days ago) WEBAdvances in public health and medical care have enabled better pregnancy and birth outcomes. The rates of perinatal health indicators such as maternal mortality and morbidity; fetal, neonatal, and infant mortality; low birthweight; and preterm birth have reduced over time. However, they are still a …
https://pubmed.ncbi.nlm.nih.gov/34519596/
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Perinatal health predictors using artificial intelligence: A review
(7 days ago) WEBRecent. studies have shown that artificial intelligence (AI) has the. potential to accelerate this progress. This review aims to. present an overview of perinatal health indicators, sum-. marize
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Perinatal health predictors using artificial intelligence: A review
(2 days ago) WEBPerinatal health predictors using WHE 010.1177/17455065211046132Women’s HealthRamakrishnan et al. review-article2021 Artificial Intelligence in Women’s Health - Review.
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Perinatal health predictors using artificial intelligence: A review
(2 days ago) WEBThis scenario envisioning artificial intelligence for perinatal research to be based on three goals: availability of population-representative, routine clinical data (rich multimodal data of large sample size) for per inatal research; modification and application of current state-of-the-art artificial Intelligence for prediction and classification in health …
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Perinatal health predictors using artificial intelligence: A review
(Just Now) WEBPerinatal health predictors using artificial intelligence: A review. Abstract: Advances in public health and medical care have enabled better pregnancy and birth outcomes. The rates of perinatal health indicators such as maternal mortality and morbidity; fetal, neonatal, and infant mortality; low birthweight; and preterm birth have reduced over
https://ora.ox.ac.uk/objects/uuid:38918c1d-eb57-498c-ab7f-d4e180cd4fdc
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Machine learning to predict pregnancy outcomes: a systematic …
(4 days ago) WEBMachine Learning (ML) has been widely used in predicting the mode of childbirth and assessing the potential maternal risks during pregnancy. The primary aim of this review study is to explore current research and development perspectives that utilizes the ML techniques to predict the optimal mode of childbirth and to detect various …
https://bmcpregnancychildbirth.biomedcentral.com/articles/10.1186/s12884-022-04594-2
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On usage of artificial intelligence for predicting mortality during …
(2 days ago) WEBWe conducted a systematic review of literature, limiting the search to the last 10 years of publications considering the five main scientific databases as source. From 671 works, 18 of them were selected as primary studies for further analysis. Ramakrishnan R, Rao S, He J-R. Perinatal health predictors using artificial …
https://bmcmedinformdecismak.biomedcentral.com/articles/10.1186/s12911-022-02082-3
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Perinatal health predictors using preview & related info Mendeley
(2 days ago) WEBThe rates of perinatal health indicators such as maternal mor Article OPEN ACCESS. Perinatal health predictors using artificial intelligence: A review. Ramakrishnan R; Rao S; He J; Women's Health. DOI: 10.1177/17455065211046132. 16 Citations. Citations of this article. 202 Readers.
https://www.mendeley.com/catalogue/4369a2a9-fa6d-3083-b20a-252ebf8cf410/
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Saving babies and families from preventable harm: a review of the
(Just Now) WEBA 2016 Cochrane review of 12 trials involving 37,000 women noted that the use of continuous CTG in labor did not reduce the overall perinatal death rate or incidence of cerebral palsy, but did
https://www.nature.com/articles/s44294-024-00015-1
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Perinatal Outcomes—A Systematic Review - mdpi-res.com
(5 days ago) WEBperinatal outcomes [3]. Examples of such interventions are aspirin for preeclampsia, progesterone for preterm birth, diet and insulin for diabetes, and growth assessment for stillbirth [4–9]. Incorporating AI in risk assessment and adverse pregnancy outcome (APO) prediction is an opportunity for present-day perinatal medicine. The …
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Deep hybrid model for maternal health risk classification in …
(4 days ago) WEBA 39-item validated instrument was designed by the Alberta perinatal health program in 2020 to categorize pregnant women attending antenatal into high, moderate and low risk (Al-Hindi et al Perinatal health predictors using artificial intelligence: a review. Women's Health. 17, 17455065211046132. 10.1177/17455065211046132 [PMC free
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10354509/
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Perinatal health predictors using artificial intelligence: A review
(8 days ago) WEBRecent studies have shown that artificial intelligence (AI) has the potential to accelerate this progress. This review aims to present an overview of perinatal health indicators, summarize evidence on the current state of evidence for AI application in perinatal health, and discuss future directions for this field.
https://journals.sagepub.com/doi/10.1177/17455065211046132
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Risk factors of perinatal depression in women: a systematic review …
(5 days ago) WEBPerinatal depression refers to severe depressive episodes during pregnancy and/or within 12 months postpartum, and is one of the most common reproductive complications [1, 2].The prevalence of perinatal depression in women is about 10–15% in developed countries, and a higher risk in less-developed countries [3, 4].One research …
https://bmcpsychiatry.biomedcentral.com/articles/10.1186/s12888-021-03684-3
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Perinatal health predictors using artificial intelligence: A review
(2 days ago) WEBFor perinatal researchers who are engaged in unraveling the tangled web of causation for maternal and child health outcomes and for clinicians involved in the care of pregnant women and infants, artificial intelligence offers novel approaches to prediction modeling, diagnosis, early detection, and monitoring in perinatal health.
https://journals.sagepub.com/doi/abs/10.1177/17455065211046132
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Perinatal health predictors using artificial intelligence: A review
(8 days ago) WEBPerinatal health predictors using artificial intelligence: A review Rema Ramakrishnan, Shishir Rao, and Jian-Rong He Women's Health 2021 10.1177/17455065211046132
https://journals.sagepub.com/doi/10.1177/17455065211046132?icid=int.sj-abstract.similar-articles.1
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Maternal mental health: Women’s voices and data from across the …
(4 days ago) WEBThe many ways in which positive and poor perinatal mental health can be explored and evidenced is shown in Associations with possible predictors, including Bei B, Wright T, Mooney H, Huthwaite M, Cunningham C, Firestone R, Signal TL. A scoping review of non-pharmacological perinatal interventions impacting maternal sleep and …
https://bmcpregnancychildbirth.biomedcentral.com/articles/10.1186/s12884-022-05064-5
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Perinatal health predictors using artificial intelligence: A review
(2 days ago) WEBAbstract. Advances in public health and medical care have enabled better pregnancy and birth outcomes. The rates of perinatal health indicators such as maternal mortality and morbidity; fetal, neonatal, and infant mortality; low birthweight; and preterm birth have reduced over time. However, they are still a public health concern, and
https://europepmc.org/article/MED/34519596
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Perinatal health predictors using artificial intelligence: A review
(3 days ago) WEBAdvances in public health and medical care have enabled better pregnancy and birth outcomes. The rates of perinatal health indicators such as maternal mortality and morbidity; fetal, neonatal, and infant mortality; low birthweight; and preterm birth have reduced over time. However, they are still a public health concern, and considerable …
https://ouci.dntb.gov.ua/en/works/4VbnrZW4/
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One Year Into the Pandemic: A Systematic Review of Perinatal …
(7 days ago) WEBIntroduction. Since being declared a pandemic in March 2020 by the World Health Organization (WHO), the novel coronavirus disease (COVID-19) has rapidly spread across the globe ().As of April 12th 2021, there have been nearly 139 million confirmed cases and nearly 3 million deaths worldwide (2, 3).These staggering figures have …
https://www.frontiersin.org/journals/psychiatry/articles/10.3389/fpsyt.2021.674194/full
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Perinatal Depression and Beyond—Implications for - JAMA …
(8 days ago) WEBThe 2 newly published studies, Smythe et al 1 and Sultan et al, 2 are systematic reviews (Smythe et al 1 also comprises a meta-analysis) dealing with the topic of perinatal mental health (ie, mental health during the time of pregnancy up to 1 year after birth). Smythe et al 1 estimated prevalence rates of perinatal depression and anxiety in …
https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2793557
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Perinatal posttraumatic stress disorder as a predictor of mother …
(4 days ago) WEBBackground Negative childbirth experiences can be related to the onset of perinatal post-traumatic stress symptomatology (P-PTSS), which significantly impacts the mother and the infant. As a response in the face of the discomfort caused by P-PTSS, maladaptive emotion regulation strategies such as brooding can emerge, contributing to …
https://bmcpregnancychildbirth.biomedcentral.com/articles/10.1186/s12884-024-06570-4
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Exploring predictors and prevalence of postpartum - BMC Public …
(7 days ago) WEBBackground Postpartum depression (PPD) affects around 10% of women, or 1 in 7 women, after giving birth. Undiagnosed PPD was observed among 50% of mothers. PPD has an unfavorable relationship with women’s functioning, marital and personal relationships, the quality of the mother-infant connection, and the social, …
https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-024-18502-0
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Severe Maternal Morbidity Maternal Infant Health CDC
(3 days ago) WEBThese 21 indicators and corresponding ICD codes can identify delivery hospitalizations with SMM using administrative data starting in October 2015. Both ICD-9 and ICD-10 can be used to track SMM. Access the table which includes the list of 21 indicators and corresponding ICD codes. Describes unexpected labor and delivery …
https://www.cdc.gov/maternal-infant-health/php/severe-maternal-morbidity/index.html
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Perinatal thymic-derived CD8αβ-expressing γδ T cells are - Nature
(Just Now) WEBThe contribution of γδ T cells to immune responses is associated with rapid secretion of interferon-γ (IFN-γ). Here, we show a perinatal thymic wave of innate IFN-γ-producing γδ T cells
https://www.nature.com/articles/s41590-024-01855-4
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About Adverse Childhood Experiences Adverse Childhood …
(1 days ago) WEBToxic stress, or extended or prolonged stress, from ACEs can negatively affect children’s brain development, immune systems, and stress-response systems. These changes can affect children’s attention, decision-making, and learning. 18. Children growing up with toxic stress may have difficulty forming healthy and stable relationships.
https://www.cdc.gov/aces/about/index.html
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The impact of midwife/nurse-led psychosocial - Semantic Scholar
(Just Now) WEBIt is shown that nurses' and midwives' confidence in PBC and mental health were leadingly influenced by organisational support in perinatal bereavement practice, and support from organisations and self-care interventions were required to improve confidence in PBC and reduce negative psychological outcomes among those providing PBC.
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Predictors of Readmission, for Patients with Chronic - PubMed
(1 days ago) WEBIntroduction: Chronic obstructive pulmonary disease (COPD) is the third-leading cause of death globally and is responsible for over 3 million deaths annually. One of the factors contributing to the significant healthcare burden for these patients is readmission. The aim of this review is to describe significant predictors and prediction …
https://pubmed.ncbi.nlm.nih.gov/38022828/
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Perinatal health predictors using artificial intelligence: A review
(9 days ago) WEBThe rates of perinatal health indicators such as maternal mortality and morbidity; fetal, neonatal, and Perinatal health predictors using artificial intelligence: A review - Rema Ramakrishnan, Shishir Rao, Jian-Rong He, 2021
https://journals.sagepub.com/doi/10.1177/17455065211046132?icid=int.sj-full-text.similar-articles.9
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Helping Fathers in the Perinatal Period: A Mapping Review of …
(2 days ago) WEBThe absence of father-focused perinatal research and the prioritizing of child- and family-focused perinatal research is particularly noticeable within social work literature. While recent social work scholarship on research related to paternal mental health and the experience of fathers exists, it is sparse.
https://journals.sagepub.com/doi/abs/10.1177/10443894241234088
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