Resultados de búsqueda - Random forest algorithms

Comparison of classification algorithms for predicting autistic spectrum disorder using WEKA modeler. por Mohd Radzi, Siti Fairuz, Hassan, Mohd Sayuti, Mohd Radzi, Muhammad Abdul Hadi

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Integrated bioinformatics-based identification of diagnostic markers in Alzheimer disease. por Danmei Chen, Yunpeng Zhang, Rui Qiao, Xiangyu Kong, Hequan Zhong, Xiaokun Wang, Jie Zhu, Bing Li

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Development and validation of a machine learning algorithm–based risk prediction model of pressure injury in the intensive care unit. por Xu, Jie, Chen, Danxiang, Deng, Xiaofang, Pan, Xiaoyun, Chen, Yu, Zhuang, Xiaoming, Sun, Caixia

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Validation of the Korean version of the Metacognitions Questionnaire-Insomnia (MCQ-I) scale and development of shortened versions using the random forest approach. por Lee, Joohee, Ha, Seokmin, Ahmed, Oli, Cho, Inn-Kyu, Lee, Dongin, Kim, Kyumin, Lee, Sangha, Kang, Solbi, Suh, Sooyeon, Chung, Seockhoon, Kim, Jae Kyoung

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Nomogram for Predicting the Severity of Coronary Artery Disease in Young Adults ≤45 Years of Age with Acute Coronary Syndrome. por Xulin Hong, Duanbin Li, Xinrui Yang, Guosheng Fu, Chenyang Jiang, Wenbin Zhang

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Applying machine learning methods to psychosocial screening data to improve identification of prenatal depression: Implications for clinical practice and research. por Preis, Heidi, Djurić, Petar M., Ajirak, Marzieh, Chen, Tong, Mane, Vibha, Garry, David J., Heiselman, Cassandra, Chappelle, Joseph, Lobel, Marci

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Machine Learning Model Drift: Predicting Diagnostic Imaging Follow-Up as a Case Example. por Lacson, Ronilda, Eskian, Mahsa, Licaros, Andro, Kapoor, Neena, Khorasani, Ramin

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Testicular salvage: using machine learning algorithm to develop a predictive model in testicular torsion. por Ekşi, Mithat, Yavuzsan, Abdullah Hizir, Evren, İsmail, Ayten, Ali, Fakir, Ali Emre, Akkaş, Fatih, Bursali, Kerem, Akdağ, Azad, Sahin, Selcuk, Taşçi, Ali İhsan

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Cortical atrophy distinguishes idiopathic normal-pressure hydrocephalus from progressive supranuclear palsy: A machine learning approach. por Bianco, Maria Giovanna, Quattrone, Andrea, Sarica, Alessia, Vescio, Basilio, Buonocore, Jolanda, Vaccaro, Maria Grazia, Aracri, Federica, Calomino, Camilla, Gramigna, Vera, Quattrone, Aldo

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Machine learning models for Parkinson's disease detection and stage classification based on spatial-temporal gait parameters. por Ferreira, Marta Isabel A.S.N, Barbieri, Fabio Augusto, Moreno, Vinícius Christianini, Penedo, Tiago, Tavares, João Manuel R.S.

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Physical Activity among U.S. Preschool-Aged Children: Application of Machine Learning Physical Activity Classification to the 2012 National Health and Nutrition Examination Survey... por Kwon, Soyang, O'Brien, Megan K., Welch, Sarah B., Honegger, Kyle

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Causal scientific explanations from machine learning. por Buijsman, Stefan

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Beyond generalization: a theory of robustness in machine learning. por Freiesleben, Timo, Grote, Thomas

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Application of machine learning techniques in the diagnosis of endometriosis. por Zhao, Ningning, Hao, Ting, Zhang, Fengge, Ni, Qin, Zhu, Dan, Wang, Yanan, Shi, Yali, Mi, Xin

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EANM'24 Abstract Book Congress Oct 19-23, 2024.

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Age and Ageing...Irish Gerontological Society 71st Annual and Scientific Meeting: Gerontology in a Dynamic World: Systems, Challenges, Innovations, October 3-5, 2024, Athlone, Irel...

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Diuretic response after neonatal cardiac surgery: a report from the NEPHRON collaborative. por Blinder, Joshua J., Alten, Jeffrey, Bailly, David, Buckley, Jason, Clarke, Shanelle, Diddle, J. Wesley, Garcia, Xiomara, Gist, Katja M., Koch, Joshua, Kwiatkowski, David M., Rahman, A. K. M. Fazlur, Reichle, Garrett, Valentine, Kevin, Hock, Kristal M., Borasino, Santiago

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Neuroimage analysis using artificial intelligence approaches: a systematic review. por Bacon, Eric Jacob, He, Dianning, Achi, N'bognon Angèle D'avilla, Wang, Lanbo, Li, Han, Yao-Digba, Patrick Dê Zélèman, Monkam, Patrice, Qi, Shouliang

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Identification of Effective Factors in Breast Cancer Survival in Isfahan Using Machine Learning Techniques. por Bagherian, Hossein, Javanmard, Shaghayegh Haghjooy, Mosayebi, Azam, Noorshargh, Pegah, Arabzedeh, Saeedeh, Sharifi, Mehran, Sattari, Mohammad

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Multi-modality radiomics model predicts axillary lymph node metastasis of breast cancer using MRI and mammography. por Wang, Qian, Lin, Yingyu, Ding, Cong, Guan, Wenting, Zhang, Xiaoling, Jia, Jianye, Zhou, Wei, Liu, Ziyan, Bai, Genji

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