Leveraging Artificial Neural Networks for Mining Nursing Talents in Elderly Care

Huiying Dai and Pooja Solanki
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Huiying Dai: Hubei University of Education, China
Pooja Solanki: Jesse Brown Veterans Affairs Medical Center, USA & VA Center of Innovation for Complex Chronic Healthcare, USA

International Journal of Healthcare Information Systems and Informatics (IJHISI), 2024, vol. 19, issue 1, 1-14

Abstract: As the elderly population continues to grow, there is an increasing demand for specialized nursing care. This paper presents a study focusing on the data mining of nursing talents for the elderly utilizing artificial neural network (ANN) technology. By leveraging advanced data analysis, the research aims to optimize nursing talent allocation and utilization in aged care facilities. Through comprehensive analysis of nursing skills, experience, and patient care outcomes, this study provides data-driven insights and predictive modeling to enhance the administration of nursing talents. The findings highlight the potential for improving the efficiency and effectiveness of nursing talent management in aged care settings, emphasizing the importance of integrating artificial neural networks into healthcare workforce strategies for the elderly population. This research sheds light on the pivotal role of human capital in modern economies and underscores the practical viability and applicability of data mining techniques in addressing the evolving needs of aged care.

Date: 2024
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