Application of artificial intelligence in screening for adverse perinatal outcomes—a systematic review

S Feduniw, D Golik, A Kajdy, M Pruc, J Modzelewski… - Healthcare, 2022 - mdpi.com
(1) Background: AI-based solutions could become crucial for the prediction of pregnancy
disorders and complications. This study investigated the evidence for applying artificial …

[PDF][PDF] Network Forensics: A Comprehensive Review of Tools and Techniques

S Qureshi, S Tunio, F Akhtar… - International …, 2021 - pdfs.semanticscholar.org
With the evolution and popularity of computer networks, a tremendous amount of devices
are increasingly being added to the global internet connectivity. Additionally, more …

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 …

A deep Boltzmann machine and multi-grained scanning forest ensemble collaborative method and its application to industrial fault diagnosis

G Hu, H Li, Y Xia, L Luo - Computers in Industry, 2018 - Elsevier
The essence of big data-based intelligent industrial fault diagnosis lies in the process of
machine learning and feature engineering. Deep learning methods can discover the …

A dictionary-guided attention network for biomedical named entity recognition in Chinese electronic medical records

Z Zhu, J Li, Q Zhao, F Akhtar - Expert Systems with Applications, 2023 - Elsevier
Biomedical named entity recognition (BNER) is a critical task for biomedical information
extraction. Most popular BNER approaches based on deep learning utilize words and …

Effective large for gestational age prediction using machine learning techniques with monitoring biochemical indicators

F Akhtar, J Li, M Azeem, S Chen, H Pan… - The Journal of …, 2020 - Springer
A newborn with a birth weight above the 90th percentile of same gestational age is termed
as large for gestational age. Large for gestational age suffers from serious complications …

Diagnosis and prediction of large-for-gestational-age fetus using the stacked generalization method

F Akhtar, J Li, Y Pei, A Imran, A Rajput, M Azeem… - Applied Sciences, 2019 - mdpi.com
An accurate and efficient Large-for-Gestational-Age (LGA) classification system is
developed to classify a fetus as LGA or non-LGA, which has the potential to assist …

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 …

Knowledge guided feature aggregation for the prediction of chronic obstructive pulmonary disease with Chinese EMRs

Q Zhao, J Li, L Zhao, Z Zhu - IEEE/ACM Transactions on …, 2022 - ieeexplore.ieee.org
The automatic disease diagnosis utilizing clinical data has been suffering from the issues of
feature sparse and high probability of missing values. Since the graph neural network is a …

Multiple facial image features-based recognition for the automatic diagnosis of turner syndrome

W Song, Y Lei, S Chen, Z Pan, JJ Yang, H Pan… - Computers in …, 2018 - Elsevier
Because of the diversity of individual clinical symptoms and the lack of reliable diagnostic
criteria based on the clinical features of appearance, the initial diagnosis of Turner …