Applying of Decision Tree Analysis to Risk Factors Associated with Pressure Ulcers in Long-Term Care Facilities
Mikyung Moon, Soo-Kyoung Lee
Healthc Inform Res. 2017;23(1):43-52.   Published online 2017 Jan 31     DOI: https://doi.org/10.4258/hir.2017.23.1.43
Citations to this article as recorded by Crossref logo
Exploration of pressure injury risk in adult inpatients: An integrated Braden scale and rough set approach
Yen-Ching Chuang, Tao Miao, Fengmin Cheng, Yanjiao Wang, Ching-Wen Chien, Ping Tao, Linlin Kang
Intensive and Critical Care Nursing.2024; 80: 103567.     CrossRef
Differentiating Pressure Ulcer Risk Levels through Interpretable Classification Models Based on Readily Measurable Indicators
Eugenio Vera-Salmerón, Carmen Domínguez-Nogueira, José A. Sáez, José L. Romero-Béjar, Emilio Mota-Romero
Healthcare.2024; 12(9): 913.     CrossRef
Evaluation of the risk prediction model of pressure injuries in hospitalized patient: A systematic review and meta‐analysis
Yuxia Ma, Xiang He, Tingting Yang, Yifang Yang, Ziyan Yang, Tian Gao, Fanghong Yan, Boling Yan, Juan Wang, Lin Han
Journal of Clinical Nursing.2024;[Epub]     CrossRef
Application of Artificial Intelligence Methodologies to Chronic Wound Care and Management: A Scoping Review
Mai Dabas, Dafna Schwartz, Dimitri Beeckman, Amit Gefen
Advances in Wound Care.2023; 12(4): 205.     CrossRef
Machine Learning Techniques, Applications, and Potential Future Opportunities in Pressure Injuries (Bedsores) Management: A Systematic Review
Odai Y. Dweekat, Sarah S. Lam, Lindsay McGrath
International Journal of Environmental Research and Public Health.2023; 20(1): 796.     CrossRef
Long-term care insurance purchase decisions of registered nurses: Deep learning versus logistic regression models
Hon-Yi Shi, Shu-Chuan Jennifer Yeh, Hsueh-Chih Chou, Wen Chun Wang
Health Policy.2023; 129: 104709.     CrossRef
Leveraging artificial intelligence and decision support systems in hospital-acquired pressure injuries prediction: A comprehensive review
Khaled M. Toffaha, Mecit Can Emre Simsekler, Mohammed Atif Omar
Artificial Intelligence in Medicine.2023; 141: 102560.     CrossRef
Current clinical applications of artificial intelligence in shoulder surgery: what the busy shoulder surgeon needs to know and what’s coming next
Rodrigo de Marinis, Erick M. Marigi, Yousif Atwan, Linjun Yang, Jacob F. Oeding, Puneet Gupta, Ayoosh Pareek, Joaquin Sanchez-Sotelo, John W. Sperling
JSES Reviews, Reports, and Techniques.2023; 3(4): 447.     CrossRef
Effects of alternating pressure air mattresses on pressure injury prevention: A systematic review of randomized controlled trials
Soo‐Yeon Kim, Hyun‐Jung Kim, Ji‐Won An, Yoonyoung Lee, Yong‐Soon Shin
Worldviews on Evidence-Based Nursing.2022; 19(2): 94.     CrossRef
Artificial intelligence and machine learning in precision and genomic medicine
Sameer Quazi
Medical Oncology.2022;[Epub]     CrossRef
Model and Simulation of Engineering Safety Risk Control Based on Artificial Intelligence Algorithm
Zifeng Liu, Xuliang Zhao, Jianping Tan, Haotian Tian, Raghavan Dhanasekaran
International Transactions on Electrical Energy Systems.2022; 2022: 1.     CrossRef
Decision-Tree-Based Approach for Pressure Ulcer Risk Assessment in Immobilized Patients
Eugenio Vera-Salmerón, Carmen Domínguez-Nogueira, José L. Romero-Béjar, José A. Sáez, Emilio Mota-Romero
International Journal of Environmental Research and Public Health.2022; 19(18): 11161.     CrossRef
The predictive effect of different machine learning algorithms for pressure injuries in hospitalized patients: A network meta-analyses
Chaoran Qu, Weixiang Luo, Zhixiong Zeng, Xiaoxu Lin, Xuemei Gong, Xiujuan Wang, Yu Zhang, Yun Li
Heliyon.2022; 8(11): e11361.     CrossRef
Using Machine Learning Technologies in Pressure Injury Management: Systematic Review
Mengyao Jiang, Yuxia Ma, Siyi Guo, Liuqi Jin, Lin Lv, Lin Han, Ning An
JMIR Medical Informatics.2021; 9(3): e25704.     CrossRef
The Random Forest Model Has the Best Accuracy Among the Four Pressure Ulcer Prediction Models Using Machine Learning Algorithms
Jie Song, Yuan Gao, Pengbin Yin, Yi Li, Yang Li, Jie Zhang, Qingqing Su, Xiaojie Fu, Hongying Pi
Risk Management and Healthcare Policy.2021; Volume 14: 1175.     CrossRef
The Byzantine Role of Big Data Application in Nursing Science
Rosario Caruso, Cristina Arrigoni, Gianluca Conte, Gennaro Rocco, Federica Dellafiore, Federico Ambrogi, Alessandro Stievano
CIN: Computers, Informatics, Nursing.2021; 39(4): 178.     CrossRef
The Role of Big Data in Aging and Older People’s Health Research: A Systematic Review and Ecological Framework
Xinyue Zhang, Xiaolu Gao, Danxian Wu, Zening Xu, Hongjie Wang
Sustainability.2021; 13(21): 11587.     CrossRef
Aortic Dissection Auxiliary Diagnosis Model and Applied Research Based on Ensemble Learning
Jingmin Luo, Wei Zhang, Shiyang Tan, Lijue Liu, Yongping Bai, Guogang Zhang
Frontiers in Cardiovascular Medicine.2021;[Epub]     CrossRef
Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine
Zeeshan Ahmed, Khalid Mohamed, Saman Zeeshan, XinQi Dong
Database.2020;[Epub]     CrossRef
Omissions of Care in Nursing Home Settings: A Narrative Review
Aaron M. Ogletree, Rikki Mangrum, Yael Harris, David R. Gifford, Rouguia Barry, Linda Bergofsky, Deborah Perfetto
Journal of the American Medical Directors Association.2020; 21(5): 604.     CrossRef
Determining Significant Risk Factors for Preventing Elderly People with Hypertension from Cardiovascular Disease Complication Using Maximum Objective Distance
Supansa Chaising, Punnarumol Temdee
Wireless Personal Communications.2020; 115(4): 3099.     CrossRef
Pressure Ulcers Prevalence and Potential Risk Factors Among Intensive Care Unit Patients in Governmental Hospitals in Palestine: A Cross-sectional Study
Jamal A.S. Qaddumi, Omar Almahmoud
The Open Public Health Journal.2019; 12(1): 121.     CrossRef
Comparison of Models for the Prediction of Medical Costs of Spinal Fusion in Taiwan Diagnosis-Related Groups by Machine Learning Algorithms
Ching-Yen Kuo, Liang-Chin Yu, Hou-Chaung Chen, Chien-Lung Chan
Healthcare Informatics Research.2018; 24(1): 29.     CrossRef
The Future of Data‐Driven Wound Care
Jon S. Woods, Mayur Saxena, Tasha Nagamine, Raelina S. Howell, Theresa Criscitelli, Scott Gorenstein, Brian M. Gillette
AORN Journal.2018; 107(4): 455.     CrossRef
Machine Learning to Compare Frequent Medical Problems of African American and Caucasian Diabetic Kidney Patients
Yong-Mi Kim, Pranay Kathuria, Dursun Delen
Healthcare Informatics Research.2017; 23(4): 241.     CrossRef