Showing 61 - 80 results of 551 for search 'risk education algorithm', query time: 0.14s Refine Results
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    The Role of AI in Nursing Education and Practice: Umbrella Review by Rabie Adel El Arab, Omayma Abdulaziz Al Moosa, Fuad H Abuadas, Joel Somerville

    Published 2025-04-01
    “…These studies encompassed diverse methodologies and focused on nursing professionals, students, educators, and researchers. First, ethical and social implications were consistently highlighted, with studies emphasizing concerns about data privacy, algorithmic bias, transparency, accountability, and the necessity for equitable access to AI technologies. …”
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    Article
  3. 63

    Exploring the Impact of Predictive Analytics and AI in STEM Education by Tai Ki Kim

    Published 2025-05-01
    “…Predictive analytics, leveraging vast datasets including academic performance, engagement metrics, and demographic variables, allows educators to identify at-risk students early and implement targeted interventions. …”
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    Implementation of the K-Means Algorithm for Customer Churn Segmentation in Developing Bank Marketing Strategies by Reva Nur Rahmadiana, Dinda Lestarini

    Published 2025-07-01
    “…This study aims to segment customers based on characteristics that influence their churn risk using the K-Means algorithm. The data used in this research is secondary data consisting of 9,763 customer records from a bank customer churn dataset obtained via the Kaggle platform. …”
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  9. 69

    The Relationship Between Appropriateness of Antibiotic Use Based on the Gyssens Algorithm and Mortality: A Retrospective Cohort Study in Indonesian Tertiary Hospital by Fadrian Fadrian, Gestina Aliska, Widya Nur Utami

    Published 2024-07-01
    “…Djamil Central General Hospital by using the Gyssens algorithm. Methods: This was a retrospective cohort study at Dr. …”
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  10. 70

    Artificial Intelligence in Medical Education: Promise, Pitfalls, and Practical Pathways by Saroha S

    Published 2025-06-01
    “…While AI-driven transcription tools reduce administrative burdens and machine learning algorithms enhance diagnostic accuracy, the risks of over-reliance, algorithmic bias, and patient data security remain critical concerns. …”
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    Article
  11. 71

    Applications of artificial intelligence in neurosurgical education: a scoping review by Hector Julio Piñera-Castro, Christian Borges-García

    Published 2025-08-01
    “…Simulation training utilized neural networks to classify expertise and deliver individualized feedback, though rigid metrics risked oversimplifying skill progression. Machine learning algorithms assessed surgical performance, identifying metrics. …”
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  12. 72

    Utilizing Artificial Intelligence for Adaptive Scenario Development in Interprofessional Education by Hatice Şahin, Aysel Baser

    Published 2025-04-01
    “…Overreliance on AI also risks reducing critical thinking and creativity, while concerns such as algorithmic bias and data privacy must be carefully addressed to ensure equitable educational practices.…”
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  13. 73

    Leveraging artificial intelligence as a learning tool in higher education by Mncedisi Christian Maphalala, Oluwatoyin Ayodele Ajani

    Published 2025-01-01
    “…The integration of Artificial Intelligence (AI) technologies in education has gained significant attention, particularly in the context of higher education, in recent years. …”
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  14. 74

    TECHNOLOGY TRANSFER RISK MANAGEMENT IN THE CONDITIONS OF SCIENTIFIC INTERNATIONALISATION by Iryna Novikova, Alla Stepanova, Oksana Zhylinska, Anastasiia Samoilikova

    Published 2022-09-01
    “…Thus, the study aims to develop an algorithm for managing key risks that arise in the exchange of technology in the scientific and educational environment in the context of the internationalisation of science. …”
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  15. 75

    Construction of a prediction model for moderate to severe perimenopausal syndrome based on machine learning algorithms by ZHANG Min, GU Tingting, GUAN Wei, LIU Xiangxiang, SHI Junyao

    Published 2024-08-01
    “…Objective To identify risk factors for perimenopausal syndrome (PMS) among perimenopausal women using machine learning algorithms, and to construct a predictive model for the risk of developing moderate to severe PMS in perimenopausal women. …”
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    A comparative study of the performance of ten metaheuristic algorithms for parameter estimation of solar photovoltaic models by Adel Zga, Farouq Zitouni, Saad Harous, Karam Sallam, Abdulaziz S. Almazyad, Guojiang Xiong, Ali Wagdy Mohamed

    Published 2025-01-01
    “…The algorithms evaluated include the Crayfish Optimization Algorithm, the Golf Optimization Algorithm, the Coati Optimization Algorithm, the Crested Porcupine Optimizer, the Growth Optimizer, the Artificial Protozoa Optimizer, the Secretary Bird Optimization Algorithm, the Mother Optimization Algorithm, the Election Optimizer Algorithm, and the Technical and Vocational Education and Training-Based Optimizer. …”
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    IMPROVING THE METHODOLOGY OF CONTINUOUS MEDICAL EDUCATION IN THE CONTEXT OF ARTERIAL HYPERTENSION TREATMENT by A. L. Vertkin, A. S. Skotnikov, V. B. Mychka, Yu. V. Prokhorova, M. A. Khamurzova, E. I. Uzueva

    Published 2013-10-01
    “…To assess the role of the algorithm-based selection of antihypertensive therapy (AHT) and the continuous medical education in the treatment of arterial hypertension (AH).Material and methods. …”
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