Search Results - Random forest algorithms

Carbon Sequestration Strategies in Regenerative Agricultural Systems by Leveraging Wireless Sensor Networks for Precision Carbon Management. by Al-Jawahry, Hassan M., AI_Sadi, Hafidh l., Rajasekhar, Boddu

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As safe as houses.

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基于随机森林模型的乳腺癌术后病人复发恐惧 影响因素研究. by 田朝霞, 李红梅, 杨 佳, 郝婷

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Metabolism‐related biomarkers, molecular classification, and immune infiltration in diabetic ulcers with validation. by Ma, Xiao‐Xuan, Zhang, Ying, Jiang, Jing‐Si, Ru, Yi, Luo, Ying, Luo, Yue, Fei, Xiao‐Ya, Song, Jian‐Kun, Ma, Xin, Li, Bin, Tan, Yi‐Mei, Kuai, Le

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مقایسه عملکرد الگوریتمهای داده کاوی در پیش بینی بیماریهای عروق کرونر قلبی با استفاده از داده های مطالعه سلامت مردم یزد (یاس). by اعظم برزگری, سیده فاطمه نوران, مسعود میرزائی

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Predictors of enacted stigma following disclosure among people in recovery from opioid use disorder: a machine learning approach. by Mousavi, Mohammad, Sticinski, Ethel Virginia, Hill, E. Carly, Brousseau, Natalie M., Hulsey, Jessica, Morrison, Lynn M., Kelly, John F., Fox, Annie B., Earnshaw, Valerie A.

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Machine Learning–Based Identification and Validation of PYCR1 and PYGM as Prognostic Biomarkers for Osteosarcoma. by Xu, Guoyong, Liu, Chong, Xue, Jiang, Chen, Jiarui, Zou, Zhuan, Mo, Sen, Zhou, Zhongxian, Zhan, Xinli

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Non-invasive prediction of the secondary enucleation risk in uveal melanoma based on pretreatment CT and MRI prior to stereotactic radiotherapy. by Yedekci, Yagiz, Arimura, Hidetaka, Jin, Yu, Yilmaz, Melek Tugce, Kodama, Takumi, Ozyigit, Gokhan, Yazici, Gozde

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Unraveling the mechanisms of bisphenol A-Induced lupus nephritis through network toxicology and machine learning approaches. by Tang, Zhongfu, Li, Ming, Cheng, Lili, Chen, Junjie, Huang, Chuanbing

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Environmental determinants of depression risk in China: insights from a longitudinal and cross-sectional analysis. by Xie, Lanying, Luo, Huanhuan, Hao, Yuqing, Zhao, Yajie, Sun, Chao, Hu, Huixiu

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Work-Life Conditions as the Primary Determinant of Seafarer Mental Health: An Explainable Machine Learning Analysis. by Jiang, Yongwei, Tang, Zhendong, Liu, Hua, Cao, Wenjie, Zhao, Zhiwei, Uğurlu, Özkan, Wang, Xinjian

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Author verification of Nahj Al-Balagha. by Sarwar, Raheem, Mohamed, Emad

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Radiomics-Based Prediction of TERT Promotor Mutations in Intracranial High-Grade Meningiomas. by Akkurt, Burak Han, Spille, Dorothee Cäcilia, Peetz-Dienhart, Susanne, Kiolbassa, Nora Maren, Mawrin, Christian, Musigmann, Manfred, Heindel, Walter Leonhard, Paulus, Werner, Stummer, Walter, Mannil, Manoj, Brokinkel, Benjamin

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Characterization of Pulmonary Nodules Based on Features of Margin Sharpness and Texture. by Ferreira, José Raniery, Oliveira, Marcelo Costa, de Azevedo-Marques, Paulo Mazzoncini

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A Two-Step Feature Selection Method to Predict Cancerlectins by Multiview Features and Synthetic Minority Oversampling Technique. by Yang, Runtao, Zhang, Chengjin, Zhang, Lina, Gao, Rui

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Machine Learning in Discharge Planning for Stroke Patients: A Review of Feature Representation and Aggregation Strategies With Suggestions for Improvement...Cui Y, Xiang L, Zhao P,... by Liu, Siyu, Cai, Jiaxin

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Analyzing the Differential Expression of Vitiligo Genes by Bioinformatics Methods. by Lu, Quansheng, He, Xi, Sun, Yao, Lu, Yu, Jiang, Guan, Bassukas, Ioannis D.

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基于机器学习算法构建晚期直肠癌病人 疼痛危象预测模型. by 张丽达, 梁晟, 农世相, 袁杰, 黄丽芳

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Urinary 3-methylhistidine as a potential biomarker for sepsis-associated acute kidney injury: multidimensional metabolomics analysis in mice and human. by Wang, Xibo, Huang, Pengfei, Luo, Yinghao, Xin, Yu, Li, Yue, Shen, Lifeng, Liu, Yanqi, Zhou, Yang, Zhang, Yuxin, Zhang, Qianqian, Wang, Dawei, Luan, Feiyu, Zhang, Weiting, Yuan, Mengyao, Liu, Yuhan, Liu, Fengye, Zhang, Nan, Wu, Jinyuan, Wu, Tao, Wang, Xuan

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Race-Performance Parameters Differentiating World-Best From National-Level Swimmers: A Race Video Analysis and Machine-Learning Approach. by Postiglione, Giovanni L., Abbott, Shaun, Newman, Phillip, Mitchell, Lachlan G., Elipot, Marc, Barclay, Gary, Cobley, Stephen

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