Leveraging Big Data Analytics for Enhanced Clinical Decision-Making in Healthcare

F Hussain, M Nauman, A Alghuried, A Alhudhaif… - IEEE …, 2023 - ieeexplore.ieee.org
Recently, the rate of data generation has reached unprecedented levels, leading to a huge
amount of data volume. In addition, modern-day computing systems generate data in …

Systems that evaluate international equivalency in health-related professions: a scoping review with a focus on Canada

M Lafave, Y Amannejad, U Mammadova… - Human Resources for …, 2023 - Springer
Health workforce planning has become a significant global problem considering there are
estimates of an 18 million healthcare provider shortfall by 2030. There are two mechanisms …

Mining campus big data: Prediction of career choice using interpretable machine learning method

Y Wang, L Yang, J Wu, Z Song, L Shi - Mathematics, 2022 - mdpi.com
The issue of students' career choice is the common concern of students themselves, parents,
and educators. However, students' behavioral data have not been thoroughly studied for …

Explainable boosting machines for network intrusion detection with features reduction

TA El-Mihoub, L Nolle, F Stahl - International Conference on Innovative …, 2022 - Springer
Abstract Explainable Artificial Intelligence (XAI) can help in building trust in Artificial
Intelligence (AI) models. XAI also helps in the development process of these models …

Modeling and analytics of multi-factor disease evolutionary process by fusing petri nets and machine learning methods

W Yu, X Wang, X Fang, X Zhai - Applied Soft Computing, 2023 - Elsevier
Recent years, informatization methods have been gradually applied to medical treatment, in
which machine learning and evolutionary computation play an important role. However, the …

Improvement of accuracy of under-performing classifier in decision making using discrete memoryless channel model and Particle Swarm Optimization

R Poreddy, ES Gopi - Expert Systems with Applications, 2023 - Elsevier
In-spite of availability of wide range of algorithms for constructing multi-class classifier, there
are applications like Decision support system, Game prediction in the sports, where the multi …

Evaluating collaborative rationality-based decisions: a literature review

N Elgendy, A Elragal, T Päivärinta - Procedia Computer Science, 2023 - Elsevier
Decision making has evolved throughout the years, nowadays harnessing massive amounts
and types of data through the unprecedented capabilities of data science, analytics …

Guaranteeing Correctness in Black-Box Machine Learning: A Fusion of Explainable AI and Formal Methods for Healthcare Decision-Making

N Khan, M Nauman, AS Almadhor, N Akhtar… - IEEE …, 2024 - ieeexplore.ieee.org
In recent years, Explainable Artificial Intelligence (XAI) has attracted considerable attention
from the research community, primarily focusing on elucidating the opaque decision-making …

Modeling and analyzing of breast tumor deterioration process with petri nets and logistic regression

X Wang, W Yu, Z Ding, X Zhai… - … System Modeling and …, 2022 - ieeexplore.ieee.org
It is important to understand the process of cancer cell metastasis and some cancer
characteristics that increase disease risk. Because the occurrence of the disease is caused …

Ethical Imperatives and Challenges: Review of the Use of Machine Learning for Predictive Analytics in Higher Education

E Barnes, J Hutson, K Perry - International …, 2024 - digitalcommons.lindenwood.edu
The escalating integration of machine learning (ML) in higher education necessitates a
critical examination of its ethical implications. This article conducts a comprehensive review …