Intelligent wearable healthcare monitoring framework: trends in sensor-deep learning approaches
A Choudhury, KK Sarma - … and Computer Vision for Industry 4.0, 2023 - igi-global.com
Intelligent wearable healthcare monitoring has emerged as a promising field in healthcare,
allowing for real-time and continuous monitoring of a patient's health status. In recent years …
allowing for real-time and continuous monitoring of a patient's health status. In recent years …
MobileNet-based Prediction of Preterm Births
T Noor-Ul-Ain, A Abbas, MU Khan… - 2023 25th …, 2023 - ieeexplore.ieee.org
Nowadays preterm birth is a serious medical problem since it causes most perinatal deaths
and puts people at risk for additional illnesses that could negatively impact their health. The …
and puts people at risk for additional illnesses that could negatively impact their health. The …
Detection of Ophthalmic Disorders Through Deep Feature Fusion
Given the rising prevalence of ophthalmic disorders, this study aims to meet the urgent need
for an automated technique capable of diagnosing and treating these conditions. Our …
for an automated technique capable of diagnosing and treating these conditions. Our …
Preterm Birth Prediction using Machine Learning
P Narmadha, SU Indhuja… - 2024 International …, 2024 - ieeexplore.ieee.org
Preterm birth, a global maternal-fetal health challenge, is addressed through Electro-
hysterography (EHG) for non-invasive uterine contraction monitoring. employs K-Nearest …
hysterography (EHG) for non-invasive uterine contraction monitoring. employs K-Nearest …