Results 221 to 230 of about 1,059,062 (379)

What Linked Data Can Tell Us About the Increasing Numbers of Children Entering Public Care

open access: yesChild &Family Social Work, EarlyView.
ABSTRACT The number of children in public care in Wales, UK, rose from the mid‐1990s to 2021. It is unclear if this change was related to increases in risk factors in parents, changes in the impact of risk factors, or changing policies and practices.
Nell Warner   +4 more
wiley   +1 more source

Teenage Pregnancy and Adolescents' Attitudes Toward Marriage and Pregnancy: Primary Data Analysis in Akatsi North, Ghana

open access: yesChildren &Society, EarlyView.
ABSTRACT A high prevalence of teenage pregnancy in Ghana has raised critical concerns. This study aims to understand the causes of early pregnancy in Akatsi North, Ghana, while also assessing the underlying attitudes of young people toward future marriage and pregnancy.
Jihye Kim, Wendy Olsen, Mohammed Ibrahim
wiley   +1 more source

Population risk predictors of major adverse kidney events attributed to focal segmental glomerulosclerosis from the CURE-CKD registry. [PDF]

open access: yesBMC Nephrol
Nicholas SB   +10 more
europepmc   +1 more source

Robustness of a convolutional neural network trained on dermoscopic images and challenged with close‐up images

open access: yesJDDG: Journal der Deutschen Dermatologischen Gesellschaft, EarlyView.
Summary Background and Objectives Deep learning‐convolutional neural networks (DL‐CNNs) have demonstrated high diagnostic accuracy within the domain of dermoscopy. However, many clinical settings lack dermoscopic devices, requiring reliance on close‐up images. This study evaluates the robustness of a DL‐CNN trained on dermoscopic images when challenged
Anastasia Sophie Vollmer   +6 more
wiley   +1 more source

Prevalence of spina bifida across the lifespan in the USA

open access: yesDevelopmental Medicine &Child Neurology, EarlyView.
Abstract Aim To estimate the prevalence of spina bifida across the lifespan, the number of people with spina bifida by state, and variations in spina bifida prevalence by insurance type, state, and selected demographics. Method This was an observational study that used administrative insurance data.
Julie Bershadsky   +7 more
wiley   +1 more source

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