Search Results - Random forest algorithms

Estimating potential illegal land development in conservation areas based on a presence-only model. by Lin, Jinyao, Li, Hua, Zeng, Yijuan, He, Xiaoyu, Zhuang, Yaye, Liang, Yingran, Lu, Siyan

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Dynamics of soil organic carbon and nitrogen and their relations to hydrothermal variability in dryland. by He, Mingzhu, Tang, Liang, Li, Chengyi, Ren, Jianxin, Zhang, Libin, Li, Xinrong

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Modelling hydrological strength and alteration in moribund deltaic India. by Paul, Satyajit, Pal, Swades

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Establishing Clinically Distinct Patient Treatment Subgroups Following Anterior Cruciate Ligament Reconstruction: A Machine Learning Clustering Analysis. by Lu, Yining, Kang, Louis, Mavrommatis, Sophia, Hevesi, Mario, Okoroha, Kelechi R., Saris, Daniel B.F., Krych, Aaron J., Camp, Christopher L., Tagliero, Adam J.

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Machine Learning-Driven Metabolomic Biomarker Discovery for PCOS: An Interpretable Approach Using Random Forest and SHAP. by Yasar, Seyma

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Construction of a predictive model for cognitive impairment among older adults in Northwest China. by Wang, Yu, Wang, Ni, Zhao, Yanjie, Wang, Xiaoyan, Nie, Yuqin, Ding, Liping

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Discovery and Validation of Traditional Chinese and Western Medicine Combination Antirheumatoid Arthritis Drugs Based on Machine Learning (Random Forest Model). by Sun, Jijia, Ni, Qinghua, Jiang, Fengyan, Liu, Baocheng, Wang, Jianying, Zhang, Lei, Huang, Jihan

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Preoperative MR radiomics based on high-resolution T2-weighted images and amide proton transfer-weighted imaging for predicting lymph node metastasis in rectal adenocarcinoma. by Wei, Qiurong, Yuan, Wenjing, Jia, Ziqi, Chen, Jialiang, Li, Ling, Yan, Zhaoxian, Liao, Yuting, Mao, Liting, Hu, Shaowei, Liu, Xian, Chen, Weicui

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Diagnosis of Prostate Cancer Using GLCM Enabled KNN Technique by Analyzing MRI Images. by Anand, L., Mewada, Shivlal, Shamsi, WameedDeyah, Ritonga, Mahyudin, Aflisia, Noza, KumarSarangi, Prakash, NdoleArthur, Moses

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Drug-related fall risk in hospitals: a machine learning approach. by Silva, Amanda Pestana da, Santos, Henrique Dias Pereira dos, Rotta, Ana Laura Olsefer, Baiocco, Graziella Gasparotto, Vieira, Renata, Urbanetto, Janete de Souza

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Can PD-L1 expression be predicted by contrast-enhanced CT in patients with gastric adenocarcinoma? a preliminary retrospective study. by Gu, Xiaolong, Yu, Xianbo, Shi, Gaofeng, Li, Yang, Yang, Li

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Ukrainian standard variants in the 20th century: stylometry to the rescue. by Lahjouji-Seppälä, M. Zaidan, Rabus, Achim, von Waldenfels, Ruprecht

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Machine learning predictions of chlorophyll-a in the Han river basin, Korea. by Kim, Kyung-Min, Ahn, Johng-Hwa

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Gender differences in serious police misconduct: A machine-learning analysis of the New York Police Department (NYPD). by Cubitt, Timothy I.C., Gaub, Janne E., Holtfreter, Kristy

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Understanding different cultural ecosystem services: An exploration of rural landscape preferences based on geographic and social media data. by Li, Yongjun, Xie, Lei, Zhang, Ling, Huang, Lingyan, Lin, Yue, Su, Yue, AmirReza, Shahtahmassebi, He, Shan, Zhu, Congmou, Li, Sinan, Gan, Muye, Huang, Lu, Wang, Ke, Zhang, Jing, Chen, Xinming

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Using Random Forest, a machine learning approach to predict nitrogen, phosphorus, and sediment event mean concentrations in urban runoff. by Behrouz, Mina Shahed, Yazdi, Mohammad Nayeb, Sample, David J.

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Understanding land degradation induced by gully erosion from the perspective of different geoenvironmental factors. by Jaafari, Abolfazl, Janizadeh, Saeid, Abdo, Hazem Ghassan, Mafi-Gholami, Davood, Adeli, Behzad

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Machine learning based prediction for China's municipal solid waste under the shared socioeconomic pathways. by Zhang, Chenyi, Dong, Huijuan, Geng, Yong, Liang, Hongda, Liu, Xiao

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Optimizing floating treatment wetland and retention pond design through random forest: A meta-analysis of influential variables. by Tirpak, R. Andrew, Tondera, Katharina, Tharp, Rebecca, Borne, Karine E., Schwammberger, Peter, Ruppelt, Jan, Winston, Ryan J.

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Integrative artificial intelligence models for Australian coastal sediment lead prediction: An investigation of in-situ measurements and meteorological parameters effects. by Bhagat, Suraj Kumar, Tiyasha, Tiyasha, Kumar, Adarsh, Malik, Tabarak, Jawad, Ali H., Khedher, Khaled Mohamed, Deo, Ravinesh C., Yaseen, Zaher Mundher

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