Machine learning first response to COVID-19: A systematic literature review of clinical decision assistance approaches during pandemic years from 2020 to 2022

G Badiola-Zabala, JM Lopez-Guede, J Estevez… - Electronics, 2024 - mdpi.com
Background: The declaration of the COVID-19 pandemic triggered global efforts to control
and manage the virus impact. Scientists and researchers have been strongly involved in …

Developing a supervised learning-based simulation method as a decision support tool for rebalancing problems in bike-sharing systems

A Maleki, E Nejati, A Aghsami, F Jolai - Expert Systems with Applications, 2023 - Elsevier
Abstract Bike-Sharing Systems (BSSs) have exploded in popularity worldwide because of
their beneficial impacts on traffic, pollution levels, and public health, which has resulted in …

[HTML][HTML] A diagnostic analytics model for managing post-disaster symptoms of depression and anxiety among students using a novel data-driven optimization …

M Dehghan-Bonari, M Alipour-Vaezi, MM Nasiri… - Healthcare …, 2023 - Elsevier
Prevalent mental disorders, such as depression and anxiety, commonly manifest in students
throughout the transition to early adulthood. Mental illnesses can significantly impact …

Cnn approach for predicting survival outcome of patients with covid-19

A Chaddad, C Tanougast - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Coronavirus disease 2019 (COVID-19) has been challenged specifically with the new
variant. The number of patients seeking treatment has increased significantly, putting …

Automatic analysis system for abnormal red blood cells in peripheral blood smears

T Gil, CI Moon, S Lee, O Lee - Microscopy Research and …, 2022 - Wiley Online Library
The type and ratio of abnormal red blood cells (RBCs) in blood can be identified through
peripheral blood smear test. Accurate classification is important because the accompanying …

Predicting the fluctuation of travel time reliability as a result of congestion variations by bagging-based regressors

S Afandizadeh, N Amoei Khorshidi… - Civil Engineering …, 2024 - ceij.ut.ac.ir
Travel time reliability affects the behavior of passengers in private or public transportation
and can be seen as an important factor in the context of freight transportation. The main …

Integrating Data Augmentation with AdaBoost for Effective COVID-19 Pneumonia Classification

M Suliman, F Malik, MQ Khan, I Ullah, AU Rub - Journal of Computing & …, 2024 - jcbi.org
In the COVID-19 pandemic, the urgent need for precise pneumonia diagnosis has prompted
this research to propose a customized AdaBoost algorithm tailored for classifying COVID-19 …

[PDF][PDF] Prediction of dementia using machine learning model and performance improvement with cuckoo algorithm.

S Rajayyan, SMM Mustafa - … of Electrical & Computer Engineering (2088 …, 2023 - core.ac.uk
Dementia is a brain disease that stays in the seventh position of death rate as per the report
of the World Health Organization (WHO). Among the various types of dementia, Alzheimer's …

Anemia Detection and Classification Using Data Analysis of Blood Samples

NB Bahadure, R Khomane, A Nittala… - … for Innovations in …, 2023 - ieeexplore.ieee.org
This research explores the feasibility and impact of using data science over the blood
samples to quickly and skillfully identify the fundamental health problems associated with it …

Prediction of COVID-19 using Machine Learning Models based on Clinical Blood Test Data

S Rajeswari - … Research Journal on Advanced Science Hub, 2023 - rspsciencehub.com
The global pandemic of Coronavirus Disease 2019 (COVID-19) has caused serious
problems and threatened the lives of many people. To effectively combat the disease, early …