[HTML][HTML] Newborn skin maturity medical device validation for gestational age prediction: clinical trial

ZSN Reis, RMC Romanelli, RN Guimarães… - Journal of Medical …, 2022 - jmir.org
Background Early access to antenatal care and high-cost technologies for pregnancy dating
challenge early neonatal risk assessment at birth in resource-constrained settings. To …

[HTML][HTML] Postnatal gestational age estimation of newborns using small sample deep learning

MT Torres, M Valstar, C Henry, C Ward… - Image and vision …, 2019 - Elsevier
A baby's gestational age determines whether or not they are premature, which helps
clinicians decide on suitable post-natal treatment. The most accurate dating methods use …

Open-source, machine and deep learning-based automated algorithm for gestational age estimation through smartphone lens imaging

AD Desai, C Peng, L Fang, D Mukherjee… - Biomedical optics …, 2018 - opg.optica.org
Gestational age estimation at time of birth is critical for determining the degree of prematurity
of the infant and for administering appropriate postnatal treatment. We present a fully …

Few-shot learning for postnatal gestational age estimation

S Romanov, H Song, M Valstar… - … Joint Conference on …, 2021 - ieeexplore.ieee.org
A baby's gestational age determines whether or not they are premature, which helps
clinicians decide treatment. The most accurate dating methods use Ultrasound Scans, but …

Integrated Age Estimation Mechanism based on Decision-Level Fusion of Error and Deviation Orientation Model

F Li, Y Li, P Wang, H Chen, W Wang… - 2022 5th Asia …, 2022 - ieeexplore.ieee.org
Age estimation based on machine learning has received lots of attention. Traditional age
estimation mechanism focuses age error ignoring the deviation between the estimated age …

Research on the Model of Medical Early Warning and Automatic Call For Help Based on Vital Signs

Q Cao, S Chen, Y Wang, H Zhu… - 2022 4th International …, 2022 - ieeexplore.ieee.org
With the development of technology, the technology and equipment for collecting physical
signs are gradually maturing, and the data analysis ability and medical treatment technology …

Hierarchical age estimation mechanism with adaBoost-based deep instance weighted fusion

Y Li, F Li, Y Zheng, P Wang, M Jiang… - Journal of Experimental & …, 2021 - Taylor & Francis
Age estimation can obtain biological age which is helpful for diagnosis of healthy status and
disease. The current age estimation methods do not consider the deep relationships of …

Integrated Age Estimation Mechanism

F Li, Y Li, P Wang, J **ao, F Yan, X Li - arxiv preprint arxiv:2103.06546, 2021 - arxiv.org
Machine-learning-based age estimation has received lots of attention. Traditional age
estimation mechanism focuses estimation age error, but ignores that there is a deviation …

Newborn skin maturity model for gestational age prediction: a clinical trial for a novel medical device validation

ZSN Reis, RN Guimarães, RM de Castro Romanelli… - 2022 - researchsquare.com
Background: The early access to prenatal care and high-cost technologies for pregnancy
dating challenge the early neonatal risks assessment at birth in resource-constrained …

Heart physiological and pathological age estimation based on wrapper deviation regression

LI Yongming, X Jie, W Pin, YAN Fang - JUSTC, 2018 - justc.ustc.edu.cn
Researches show that a person age is highly related to his heart. Heart age is very important
for examining and monitoring of the heart's state. Two algorithms for estimating the …