Search Results - Random

Health-related Quality of Life in Multimorbid Adults: A Random Forest Cross-sectional Analysis of the Korean National Health and Nutrition Examination Survey. by You, Moonchang, Kim, Geun-Myun

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Predicting Factors Affecting Lymph Node Involvement in Breast Cancer Using Random Forest Approaches. by Zamaninasab, Fatemeh, Fendereski, Afsaneh, Zamaninasab, Zahra, Godazandeh, Gholamali, Charati, Jamshid Yazdani

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Analysis of factors influencing innovative behaviors of intensive care unit nurses using a random forest model-a multicentre cross-sectional study. by Ge, Wen-Jie, Cao, Zhi-Min, Zhu, Xin-Yi, Zhu, Shou-Jun

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Comparison of Random Forest and Stepwise Regression for Variable Selection Using Low Prevalence Predictors: A case Study in Paediatric Sepsis. by Gilholm, Patricia, Lister, Paula, Irwin, Adam, Harley, Amanda, Raman, Sainath, Schlapbach, Luregn J, Gibbons, Kristen S

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Real-time fatigue monitoring system for motorcycle riders using sensors and a random forest algorithm. by Soenandi, Iwan Aang, Widodo, Lamto, Hayat, Cynthia, Harsono, Budi, Eratus Siswahono, Sinode, Jonsmith Djaha, Rymartin

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Exploring the relative importance of the factors associated with menopausal symptoms using a random forest model: a cross-sectional study. by Meejung Chin, Sowon Hahn, Yeon Soo Kim, Young Hye Kwon, Yeon-Hwan Park, Younghwan Choi, Gahye Kim, Youjin Kim, Inju Lee, Hyun Jeong Yoon, Hanjin Bae

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Random forest en R: Aplicación práctica para la imputación de datos para la investigación clínica en Hemato-oncología. by Pichardo-Rodriguez, Rafael, Córdova-Cueva, Liz, De La Cruz-Vargas, Jhony A.

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The Correlation of Waist Circumference, Uric Acid Levels, Random Blood Glucose with Blood Pressure Among Elderly in Bukit Kemuning. by Fatmawati, Wati, Desti Ambar, Khairani, Masayu Dian, Pratiwi, Amali Rica

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Application of Logistic Regression and Random Forests to Assess the Relevance of Chrononutrition Information for Prediction of Overweight in Adults: Evidence from the INRAN-SCAI 20... by Bartoszek, Karolina, Almoosawi, Suzana, Palla, Luigi

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Personalized Hearing Loss Care Using SNOMED CT-Aligned Ontology and Random Forest Machine Learning: A Hybrid Decision-Support Framework. by Kebsi, Darine, Barki, Chamseddine, Dergaa, Ismail, Gouider, Riadh, Ceylan, Halil İbrahim, Maddouri, Amina, Jemai, Abderrazak, Elloumi, Mourad, Bragazzi, Nicola Luigi, Boussi Rahmouni, Hanene

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Data Sources and Analytic Approaches Used to Evaluate the Impact of Patient and Public Involvement in Child Health Research: Simple Random Survey of Individual Studies in Published... by Miklaucic, Isabella, Borkhoff, Cornelia M., Akbar, Sadia, Buchanan, Francine, Hattangadi, Nayantara, Giannarakos, Antonia, Law, Susan, Macarthur, Colin

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Random Forest Model for the Prediction of Herbal-Induced Liver Injury: Application to Molecules from the West African Pharmacopoeia...36th Medical Informatics Europe (MIE) Conferen... by KANTAGBA, Yves M. K., BARRO, Seydou Golo, NIKIEMA, Serge L. W., STACCINI, Pascal

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Risk Prediction of Unplanned Extubation in Inpatients Using Random Forest and Logistic Regression Models. by Mou, Hongyi, Ergashev, Akmal, Zhou, Bingqi, Ye, Na, Li, Xueyan

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Status and influencing factors of academic burnout among undergraduate nursing students based on random forest modeling: a cross-sectional study. by Li, Ting, Shi, Xiaoqing, Wang, Jialin, Yu, Meng, Li, Fuyu, Xu, Heyao, An, Qi, Ma, Jiyi

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Acute Effects of a Week of Stochastic‐Random Whole‐Body Vibration on Manual Ability Performance in Healthy Subjects: A Preliminary Pilot Study. by Alguacil Diego, Isabel Mª., Martínez Piédrola, Rosa Mª., Aguilera Rubio, Ángela, Gómez Alguacil, Miguel, Molina Rueda, Francisco, Banerjee, Baisakhi

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Predictive factors of adolescents' happiness: a random forest analysis of the 2023 Korea Youth Risk Behavior Survey. by Kim, Eun Joo, Kim, Seong Kwang, Jung, Seung Hye, Ryu, Yo Seop

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Longitudinal Relations Among Perceived Economic Stress, Deviant Peer Affiliation, and Bullying Victimization: A Random Intercept Cross-Lagged Panel Model. by Wang, Xingchao, Wei, Huibin, Wang, Shiyin

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Predicting Elder Abuse Using a Random Forest Classifier. by Zeng, Qiyan, Wang, Yannan, Zhao, Fuming, He, Zhipeng

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Acute Neuromuscular Fatigue of a Random Vs Constant Session of Repeated Standing Long Jumps. by Dhote, Sylvain, Gimenez, Philippe, Grosprêtre, Sidney

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Application of random forest algorithm in identifying the risk of adverse nursing events. by WANG, Jing, HE, Jinyang, FANG, Pingping, WU, Yiling, LIU, Xiao

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