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Original Articles
707
[English]
Classification of self-care patterns in Korean adults with prediabetes using unsupervised machine learning: a secondary data analysis
Mi-Kyoung Cho, Myoung-Lyun Heo
J Korean Biol Nurs Sci. 2025;27(4):586-597.   Published online November 18, 2025
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650
[English]
Development and validation of machine learning models to predict prediabetes using dietary intake data in young adults in Korea: a cross-sectional study
Myoung-Lyun Heo
J Korean Biol Nurs Sci. 2024;26(4):300-310.   Published online November 25, 2024
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651
[Korean]
Development of a fall prediction model for community-dwelling older adults in South Korea using machine learning: a secondary data analysis
Minhee Suh, Hyesil Jung, Juli Kim
J Korean Biol Nurs Sci. 2024;26(4):288-299.   Published online November 21, 2024
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[Korean]
Relationships between Smartphone Usage, Sleep Patterns and Nursing Students' Learning Engagement
J Korean Biol Nurs Sci. 2019;21(3):231-238.   Published online August 31, 2019
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[Korean]
The Analysis of Studies Related to the Learning Methods of Biological Nursing Subjects in Korea
Jong-Min Park, Kyoung Hwa Baek
J Korean Biol Nurs Sci. 2018;20(2):92-102.   Published online May 31, 2018
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[Korean]
Development of Syllabuses for Biological Nursing Science Subjects based on Learning Outcomes: Structure and Function of Human Body, Pathogenic Microbiology, Pathophysiology, and Mechanisms and Effects of Drugs
Park, Hyunju , Kim, Yun Kyung , Kim, Joo Hyun , Jeong, Jae Sim , Choi-Kwon, Smi , Hong, Hae Sook
J Korean Biol Nurs Sci. 2015;17(2):188-210.   Published online May 31, 2015
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[Korean]
The Effects of Case-Based Learning (CBL) on Learning Motivation and Learning Satisfaction of Nursing Students in a Human Physiology Course
Kim, Na Hyun , Park, Ji Yeon , Jun, Sang Eun
J Korean Biol Nurs Sci. 2015;17(1):78-87.   Published online February 28, 2015
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[Korean]
The Learning Effects of Instructional Media on Anatomy Classes in a Nursing College
J Korean Biol Nurs Sci. 2009;11(1):51-58.
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Journal of Korean
Biological
Nursing Science

Print ISSN: 2383-6415
Online ISSN: 2383-6423



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