Leveraging Artificial Neural Networks for Mining Nursing Talents in Elderly Care

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.

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Publication Details

Journal
International Journal of Healthcare Information Systems and Informatics
Published
2024-12-11
DOI
https://doi.org/10.4018/ijhisi.363591
Primary Topic
Health and Well-being Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Leveraging Artificial Neural Networks for Mining Nursing Talents in Elderly Care

Pooja Solanki, Huiying Dai
International Journal of Healthcare Information Systems and Informatics
Health and Well-being Studies
article

Leveraging Artificial Neural Networks for Mining Nursing Talents in Elderly Care

Pooja Solanki, Huiying Dai
article en

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.

International Journal of Healthcare Information Systems and InformaticsVol. 19(1)
Hubei University of Education (CN)
Openalex Percentile: Top 68%
Health and Well-being Studies
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