Identifying the opportunities and challenges of project bundling: Modeling and discovering key patterns using unsupervised machine learning

G Assaf, RH Assaad, F Karaa - Journal of Infrastructure Systems, 2024 - ascelibrary.org
Project bundling is a strategy that combines several infrastructure projects into a single
contract to improve the overall performance of projects. While previous research efforts have …

Prediction of contraceptive discontinuation among reproductive-age women in Ethiopia using Ethiopian Demographic and Health Survey 2016 Dataset: A Machine …

SD Kebede, Y Sebastian, A Yeneneh… - BMC medical informatics …, 2023 - Springer
Background Globally, 38% of contraceptive users discontinue the use of a method within the
first twelve months. In Ethiopia, about 35% of contraceptive users also discontinue within …

A Novel COVID‐19 Diagnosis Support System Using the Stacking Approach and Transfer Learning Technique on Chest X‐Ray Images

S Hamida, O El Gannour, B Cherradi… - Journal of …, 2021 - Wiley Online Library
COVID‐19 is an infectious disease‐causing flu‐like respiratory problem with various
symptoms such as cough or fever, which in severe cases can cause pneumonia. The aim of …

A survey on the use of association rules mining techniques in textual social media

JA Diaz-Garcia, MD Ruiz, MJ Martin-Bautista - Artificial Intelligence …, 2023 - Springer
The incursion of social media in our lives has been much accentuated in the last decade.
This has led to a multiplication of data mining tools aimed at obtaining knowledge from these …

Which combinations of renewable energy policies work better? Insights from policy text synergies in China

X Hu, S Yu, X Fang, M Ovaere - Energy Economics, 2023 - Elsevier
Policy synergy is crucial to achieving unified national strategies in the effective
implementation of policy. This study investigates the synergistic effectiveness of China's …

Identifying diseases symptoms and general rules using supervised and unsupervised machine learning

F Sogandi - Scientific Reports, 2024 - nature.com
The symptoms of diseases can vary among individuals and may remain undetected in the
early stages. Detecting these symptoms is crucial in the initial stage to effectively manage …

Machine learning algorithms' application to predict childhood vaccination among children aged 12–23 months in Ethiopia: Evidence 2016 Ethiopian Demographic and …

AW Demsash, AA Chereka, AD Walle, SY Kassie… - PloS one, 2023 - journals.plos.org
Introduction Childhood vaccination is a cost-effective public health intervention to reduce
child mortality and morbidity. But, vaccination coverage remains low, and previous similar …

Coupled risk analysis of hospital infection: A multimethod-fusion model combining association rules with complex networks

Y Zhou, Y Wang, C Li, L Ding, Y Mei - Computers & Industrial Engineering, 2023 - Elsevier
During the initial phase of COVID-19 pandemic, hospital infection (HI) accidents occurred
with alarming frequency. Proactively preventing and controlling HI risks is particularly …

Hybrid learning-oriented approaches for predicting Covid-19 time series data: A comparative analytical study

S Mehrmolaei, M Savargiv, MR Keyvanpour - Engineering Applications of …, 2023 - Elsevier
Using medical science alongside time series data analysis can be given a strong tool to
develop efficient decision support systems in Corona pandemic. In this regard, many hybrid …

Lichen-air quality association rule mining for urban environments in the tropics

O Lawal, LC Ochei - International Journal of Environmental Health …, 2024 - Taylor & Francis
There are significant gaps in air quality monitoring across many low-and middle-income
countries, which can be filled by bioindicators like lichen. This study examined the links …