Sökresultat - "Random forest"

Predicting the length-of-stay of pediatric patients using machine learning algorithms.

Boff Medeiros, Natália¹ (AUTHOR), Fogliatto, Flávio Sanson¹ (AUTHOR), Karla Rocha, Miriam² (AUTHOR), Tortorella, Guilherme Luz^3,4,5 (AUTHOR) gtortorella@bol.com.br

The machine learning algorithm based on decision tree optimization for pattern recognition in track and field sports.

Cui G; College of Physical Education, Shandong Sport University, Rizhao, China., Wang C; College of Physical Education, Shandong Sport University, Rizhao, China.

Comparative Study; Journal Article , 2025

Not seeing the wood for the trees: Influences on random forest accuracy.

Hand, Chris¹ (AUTHOR) c.hand@kingston.ac.uk, Fitkov-Norris, Elena¹ (AUTHOR)

Machine learning for skin permeability prediction: random forest and XG boost regression.

Ita K; College of Pharmacy, Touro University, Vallejo, CA, USA., Prinze J; College of Pharmacy, Touro University, Vallejo, CA, USA.

Journal Article , 2024

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Using Multimodal Methods and Machine Learning to Recognize Mental Workload: Distinguishing Between Underload, Moderate Load, and Overload.

Jiang, Zebin¹ (AUTHOR), Li, Xinyan² (AUTHOR), Ge, Liezhong¹ (AUTHOR), Xu, Jie¹ (AUTHOR), Lu, Yandi¹ (AUTHOR), Zhang, Yijing¹ (AUTHOR) yijingpsy@163.com, Mao, Ming^1,2 (AUTHOR) ming_mao@noveri.com.cn

Random forests for the analysis of matched case-control studies.

Schauberger G; Chair of Epidemiology, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany. gunther.schauberger@tum.de., Klug SJ; Chair of Epidemiology, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany., Berger M; Institute of Medical Biometry, Informatics and Epidemiology, Faculty of Medicine, University of Bonn, Bonn, Germany.

Journal Article , 2024

Machine learning for automating subjective clinical assessment of gait impairment in people with acquired brain injury - a comparison of an image extraction and classification system to expert scoring.

Mobbs A; School of Health, University of the Sunshine Coast, Sippy Downs, QLD, Australia., Kahn M; Department of Physiotherapy, Epworth Healthcare, Richmond, VIC, Australia., Williams G; Department of Physiotherapy, Epworth Healthcare, Richmond, VIC, Australia.; School of Health Sciences, University of Melbourne, Parkville, VIC, Australia., Mentiplay BF; School of Allied Health, Human Services and Sport, La Trobe University, Bundoora, VIC, Australia., Pua YH; Department of Physiotherapy, Singapore General Hospital, Singapore, Singapore.; Duke-National University of Singapore Medical School, Singapore, Singapore., Clark RA; School of Health, University of the Sunshine Coast, Sippy Downs, QLD, Australia. rclark@usc.edu.au.

Comparative Study; Evaluation Study; Journal Article; Comparative Study; Research Support, Non-U.S. Gov't , 2024

Characteristics of the gut virome in patients with premalignant colorectal adenoma.

Zhang, Pan^1,2,3,4 (AUTHOR) zhangwangpan71@163.com, Tuo, Xiaofeng^1,2,3,4 (AUTHOR), Jiang, Jiong^1,2,3,4 (AUTHOR), Zhang, Yue⁵ (AUTHOR), Zhao, Juhui^1,2,3,4 (AUTHOR), Deng, Chengzhao^1,2,3,4 (AUTHOR), Zhao, Gang^1,2,3,4 (AUTHOR), Cheng, Yan^1,2,3,4 (AUTHOR), Song, Lingqin⁶ (AUTHOR), Yang, Yan⁷ (AUTHOR), Guo, Ruochun⁵ (AUTHOR), Zhang, Huan^1,2,3,4 (AUTHOR), Zhao, Hongli^1,2,3,4 (AUTHOR), Ma, Shiyang^1,2,3,4 (AUTHOR) shiyangma@163.com, Li, Lu^1,2,3,4 (AUTHOR) lilu0505@aliyun.com, Shi, Haitao^1,2,3,4 (AUTHOR) shihaitao7@163.com

Identification of biomarkers associated with inflammatory response in Parkinson's disease by bioinformatics and machine learning.

Li, Yatan¹ (AUTHOR), Jia, Wei² (AUTHOR), Chen, Chen³ (AUTHOR), Chen, Cheng⁴ (AUTHOR), Chen, Jinchao³ (AUTHOR), Yang, Xinling^5,6 (AUTHOR) yangxinling2014@163.com, Liu, Pei³ (AUTHOR) lp374187120@163.com

Development of a machine learning prediction model for loss to follow-up in HIV care using routine electronic medical records in a low-resource setting.

Endebu, Tamrat¹ (AUTHOR) seetame2008@gmail.com, Taye, Girma¹ (AUTHOR) girmataye2009@gmail.com, Deressa, Wakgari¹ (AUTHOR) deressaw@gmail.com

Rapid identification of tumor patients with PG-SGA ≥ 4 based on machine learning: a prospective study.

Qian, Gui¹ (AUTHOR) 2515874298@qq.com, Jiaxin, Huang² (AUTHOR) hjx19991111@163.com, minghua, Cong² (AUTHOR) congmh@cicams.ac.cn, beijia, Liu¹ (AUTHOR) liubeijia1014@163.com, Yinfeng, Li³ (AUTHOR) lyf_nick@163.com, Guiyu, Huang⁴ (AUTHOR) huangguiyu88128@163.com, Mingxue, Yang³ (AUTHOR) yangmingxue@scszlyy.org.cn, Xiaoli, Tang³ (AUTHOR) 1585470513@qq.com, Hongyan, Yan³ (AUTHOR) 1752146434@qq.com

A study of dominant factors in the coupled coordination of population–ecology–energy–digital economy in China based on random forest algorithm.

Zhong, Qikang¹ (AUTHOR), Zhu, Jiawei¹ (AUTHOR) jw_zhu@csu.edu.cn, Li, Zhe¹ (AUTHOR)

Mapping forest aboveground carbon stock of combined stratified sampling and RFRK model with mean annual temperature and precipitation.

Peng, Min¹ (AUTHOR), Xu, Mingrui² (AUTHOR), Zhang, Jialong¹ (AUTHOR) jialongzhang@swfu.edu.cn, Qiu, Bo¹ (AUTHOR), Teng, Chenkai¹ (AUTHOR), Chen, Chaoqing^2,3 (AUTHOR)

A novel model for predicting immunotherapy response and prognosis in NSCLC patients.

Zang, Ting¹ (AUTHOR), Luo, Xiaorong¹ (AUTHOR), Mo, Yangyu¹ (AUTHOR), Lin, Jietao^2,3 (AUTHOR), Lu, Weiguo² (AUTHOR), Li, Zhiling⁴ (AUTHOR) lizhl@sysucc.org.cn, Zhou, Yingchun^2,3 (AUTHOR) yingchunbaby@126.com, Chen, Shulin⁴ (AUTHOR) chenshl@sysucc.org.cn

The prognostic nutritional index is associated with preeclampsia in twin pregnancies.

Han, Qing^1,2 (AUTHOR), Zheng, Shuisen² (AUTHOR), Chen, Xiaoling¹ (AUTHOR), Gao, Yuting¹ (AUTHOR), Zhang, Huale² (AUTHOR) zhanghuale@fjmu.edu.cn, Lin, Na^1,3 (AUTHOR) linna1088@fjmu.edu.cn

Predicting depression severity using machine learning models: Insights from mitochondrial peptides and clinical factors.

Salahudeen, Toheeb¹ (AUTHOR), Maalouf, Maher¹ (AUTHOR) maher.maalouf@ku.ac.ae, Elfadel, Ibrahim M.^2,3 (AUTHOR), Jelinek, Herbert F.^4,5 (AUTHOR)