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 …
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 …
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 …
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 …
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 …
Decision making has evolved throughout the years, nowadays harnessing massive amounts and types of data through the unprecedented capabilities of data science, analytics …
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 …
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 …
The escalating integration of machine learning (ML) in higher education necessitates a critical examination of its ethical implications. This article conducts a comprehensive review …