[HTML][HTML] Sensing and artificial intelligent maternal-infant health care systems: a review

S Gulzar Ahmad, T Iqbal, A Javaid, E Ullah Munir… - Sensors, 2022 - mdpi.com
Currently, information and communication technology (ICT) allows health institutions to
reach disadvantaged groups in rural areas using sensing and artificial intelligence (AI) …

Infant birth weight estimation and low birth weight classification in United Arab Emirates using machine learning algorithms

W Khan, N Zaki, MM Masud, A Ahmad, L Ali, N Ali… - Scientific reports, 2022 - nature.com
Accurate prediction of a newborn's birth weight (BW) is a crucial determinant to evaluate the
newborn's health and safety. Infants with low BW (LBW) are at a higher risk of serious short …

Computational methods for studying relationship between nutritional status and respiratory viral diseases: a systematic review

Z Hussain, MD Borah, RK Ahmed - Artificial Intelligence Review, 2024 - Springer
This study sought to identify the computational methods used in studying the relationship
between nutritional status and human respiratory viral infections. Using the Preferred …

Building a predictive model of low birth weight in low-and middle-income countries: a prospective cohort study

JK Patterson, VR Thorsten, B Eggleston… - BMC Pregnancy and …, 2023 - Springer
Background Low birth weight (LBW,< 2500 g) infants are at significant risk for death and
disability. Improving outcomes for LBW infants requires access to advanced neonatal care …

NICOV: a model to analyse impact of nutritional status and immunity on COVID-19

Z Hussain, MD Borah - Medical & Biological Engineering & Computing, 2022 - Springer
A few months back there was no medication and vaccine for COVID-19. Yet, most of the
infected people got recovered. A very small portion of the infected people could not recover …

A computational model to analyze the impact of birth weight-nutritional status pair on disease development and disease recovery

Z Hussain, MD Borah - Health Information Science and Systems, 2024 - Springer
Purpose The purpose of this work is to analyse the combined impacts of birth weight and
nutritional status on development and recovery of various types of diseases. This work aims …

A neural network integrated mathematical model to analyze the impact of nutritional status on cognitive development of child

Z Hussain, MD Borah - Computers in Biology and Medicine, 2025 - Elsevier
Cognitive development is a crucial developmental aspect of children. It is a concise field of
study in psychology and neuroscience that focuses on various developmental aspects of the …

Predicting mental health and nutritional status from social media profile using deep learning

Z Hussain, MD Borah - Deep learning for social media data analytics, 2022 - Springer
In recent times, discussion about mental health is getting importance alongside physical
health. Due to the pandemic, people got stuck inside their home resulting reduction in …

Genetic algorithm for the optimization of infectiological parameter values under different nutritional status

Z Hussain, MD Borah - Advances in Computers, 2024 - Elsevier
Each infectious disease has three infectiological parameters called susceptibility, infection,
and recovery. These parameters are affected by a lot of environmental and biological/clinical …

Node embedding-based graph autoencoder outlier detection for adverse pregnancy outcomes

W Khan, N Zaki, A Ahmad, MM Masud, R Govender… - Scientific reports, 2023 - nature.com
Adverse pregnancy outcomes, such as low birth weight (LBW) and preterm birth (PTB), can
have serious consequences for both the mother and infant. Early prediction of such …