Resultados de búsqueda - Random forest algorithms

Community Environment and Loneliness Trajectories Among Chinese Older Adults: The Moderating Role of Urban–Rural Residence. por Si, Jiacheng, Wang, Yang, Raut, Nivedita

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Early Identification of Autism Using Cry Analysis: A Systematic Review and Meta-analysis of Retrospective and Prospective Studies. por Pusil, Sandra, Laguna, Ana, Chino, Brenda, Zegarra, Jonathan Adrián, Orlandi, Silvia

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Predictive Performance of Artificial Intelligence Models for Stroke Risk Stratification: A Systematic Review and Meta-Analysis. por Nopour, Raoof

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Do Changes in Mental Energy and Fatigue Impact Functional Assessments Associated with Fall Risks? An Exploratory Study Using Machine Learning. por Boolani, Ali, Ryan, Jenna, Vo, Trang, Wong, Brandon, Banerjee, Natasha Kholgade, Banerjee, Sean, Fulk, George, Smith, Matthew Lee, Martin, Rebecca

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An Artificial Intelligence Model for Predicting 1-Year Survival of Bone Metastases in Non-Small-Cell Lung Cancer Patients Based on XGBoost Algorithm. por Huang, Zhangheng, Hu, Chuan, Chi, Changxing, Jiang, Zhe, Tong, Yuexin, Zhao, Chengliang

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Potential value of CT radiomics in the distinction of intestinal-type gastric adenocarcinomas. por Wang, Yue, Liu, Wei, Yu, Yang, Han, Wei, Liu, Jing-Juan, Xue, Hua-Dan, Lei, Jing, Jin, Zheng-Yu, Yu, Jian-Chun

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Discovery of Urinary Proteomic Signature for Differential Diagnosis of Acute Appendicitis. por Zhao, Yinghua, Yang, Lianying, Sun, Changqing, Li, Yang, He, Yangzhige, Zhang, Li, Shi, Tieliu, Wang, Guangshun, Men, Xuebo, Sun, Wei, He, Fuchu, Qin, Jun

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A novel random forest integrative approach based on endogenous CYP3A4 phenotype for predicting tacrolimus concentrations and dosages in Chinese renal transplant patients. por Cai, Ningfang, Zhang, Xiujin, Zheng, Chao, Zhu, Lijun, Zhu, Minfeng, Cheng, Zeneng, Luo, Xi

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Meta-analysis of the moral brain: patterns of neural engagement assessed using multilevel kernel density analysis. por Fede, Samantha J., Kiehl, Kent A.

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Automated multiparametric localization of prostate cancer based on B-mode, shear-wave elastography, and contrast-enhanced ultrasound radiomics. por Wildeboer, Rogier R., Mannaerts, Christophe K., van Sloun, Ruud J. G., Budäus, Lars, Tilki, Derya, Wijkstra, Hessel, Salomon, Georg, Mischi, Massimo

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CT radiomics nomogram for the preoperative prediction of lymph node metastasis in gastric cancer. por Wang, Yue, Liu, Wei, Yu, Yang, Liu, Jing-juan, Xue, Hua-dan, Qi, Ya-fei, Lei, Jing, Yu, Jian-chun, Jin, Zheng-yu

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Radiomics approach for prediction of recurrence in skull base meningiomas. por Zhang, Yang, Chen, Jeon-Hor, Chen, Tai-Yuan, Lim, Sher-Wei, Wu, Te-Chang, Kuo, Yu-Ting, Ko, Ching-Chung, Su, Min-Ying

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Land use and land cover change dynamics and local perception in the Dolphin Coast, KwaZulu-Natal. por Nxumalo, Nzuzo, Xulu, Sifiso, Nzimande, Ntombifuthi Precious

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Analysing four decades of urban growth in Greater Khartoum, Sudan, using Earth observation data and Google Earth Engine. por Abdalla Idris, Ismail, Adam, Elhadi, Abubakr Ali Abutaleb, Khaled, O. I. Abaker, Abdelgalal

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Detecting hate crimes through machine learning and natural language processing. por Ortiz Salazar, Ana

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Artificial Intelligence and the Future of Communication Sciences and Disorders: A Bibliometric and Visualization Analysis. por Minyue Zhang, Enze Tang, Hongwei Ding, Yang Zhang

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3.20 The Trajectory of Maternal Prenatal Stress is Associated With Newborn Amygdala Functional Connectivity and Infant Negative Affect Development Over the First Two Years of Life. por Marr, Mollie, Graham, Alice M., Feczko, Eric, Thomas, Elina, Sturgeon, Darrick, Schifsky, Emma, Rasmussen, Jerod, Gilmore, John H., Styner, Martin, Potkin, Steven G., Entringer, Sonja, Wadhwa, Pathik D., Buss, Claudia, Fair, Damien

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Using Random Forest for Future Sea Level Prediction. por Ding, Haolun

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Machine Learning–Based Radiomics for Differentiating Pancreatic Lesions: A Potential Tool to Enhance Clinical Decision‐Making and Nursing Management. por Li, Xiaoxuan, Liu, Jiani, Luan, Xinchi, Cui, Jinfeng, Xing, Xiaomin, Wang, Shibo, Guo, Jing, Yan, Pengfei

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Interpretable machine learning for cognitive impairment prediction in Parkinson's disease: a multicenter validation study with SHAP analysis. por Wang, Ziyuan, Yan, Junqiang

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