Sökresultat - "Random forest algorithms"

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

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

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

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

AD-GCN: A novel graph convolutional network integrating multi-omics data for enhanced Alzheimer's disease diagnosis.

Li, Zilu^1,2 (AUTHOR), Li, Qingyun³ (AUTHOR), Li, Xiaoqing^2,4,5 (AUTHOR), Luo, Wei^2,4,5,6 (AUTHOR), Guo, Haiyan^2,4,5 (AUTHOR), Zhao, Chunyan³ (AUTHOR), Yang, Canzhen³ (AUTHOR), Xie, Anke^7,8 (AUTHOR), Hu, Kai^7,8,9 (AUTHOR) hukai@buaa.edu.cn, Guo, Yangfan^2,4,5 (AUTHOR) hukai@buaa.edu.cn

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)

Metabolic profiles and prediction of failure to thrive of citrin deficiency with normal liver function based on metabolomics and machine learning.

Wang, Peiyao¹ (AUTHOR), Zhou, Duo¹ (AUTHOR), Hu, Lingwei¹ (AUTHOR), Ge, Pingping¹ (AUTHOR), Cen, Ziyan¹ (AUTHOR), Hu, Zhenzhen¹ (AUTHOR), He, Qimin^2,3 (AUTHOR) heqimin@usts.edu.cn, Zhou, Kejun⁴ (AUTHOR) zhoukejun1984@163.com, Wu, Benqing^5,6 (AUTHOR) wubenqing783@126.com, Huang, Xinwen¹ (AUTHOR) 6305022@zju.edu.cn

Explainable predictive models of short stature and exploration of related environmental growth factors: a case-control study.

Liu, Jiani¹, Zhang, Xin², Li, Wei³, Bigambo, Francis Manyori³, Wang, Dandan⁴ wangdandanys@163.com, Wang, Xu³ sepnine@njmu.edu.cn, Teng, Beibei⁵ tengbeibei2006@126.com

Changes of gastric microflora and metabolites in patients with chronic atrophic gastritis.

Ma, Yumei^1,2 (AUTHOR), Jiang, Jianming^3,4 (AUTHOR), Yang, Zhufeng^2,5 (AUTHOR), Li, Yongzhang^1,6 (AUTHOR), Bai, Haiyan^3,7 (AUTHOR), Liu, Zongxiu^1,3 (AUTHOR), Zhang, Shuo^1,3 (AUTHOR), Zhi, Zheng^3,7 (AUTHOR) hbzyxyzz@163.com, Yang, Qian^3,7 (AUTHOR) hbszyangqian@163.com

Cardiovascular Risk Estimation in Colombia Using Artificial Intelligence Techniques.

Agudelo, Jared¹ (AUTHOR), Bedoya, Oscar² (AUTHOR), Muñoz-Velandia, Oscar³ (AUTHOR) o.munoz@javeriana.edu.co, Rodriguez Belalcazar, Kevin David² (AUTHOR), Ruiz-Morales, Alvaro⁴ (AUTHOR), Ahmad, Irfan (AUTHOR)

Multidimensional correlates of psychological stress: Insights from traditional statistical approaches and machine learning using a nationally representative Canadian sample.

Hives, Benjamin A.¹ (AUTHOR) ben.hives@ubc.ca, Beauchamp, Mark R.¹ (AUTHOR), Liu, Yan² (AUTHOR), Weiss, Jordan³ (AUTHOR), Puterman, Eli¹ (AUTHOR)

Random forest algorithms: a tool to identify the impact of arbuscular mycorrhizal fungi inoculation, seed maturation stage and geographic diversity of Pimpinella anisum L. accessions on the physicochemical composition of seeds.

de Oliveira, Bruno Rodrigues¹ (AUTHOR), Zuffo, Alan Mario² (AUTHOR) alan_zuffo@hotmail.com, dos Santos Silva, Francisco Charles² (AUTHOR), Steiner, Fábio³ (AUTHOR), AlGarawi, Amal Mohamed⁴ (AUTHOR), Okla, Mohammad K.⁴ (AUTHOR), Nhs, Mousa⁵ (AUTHOR), Alhaj Hamoud, Yousef^6,7 (AUTHOR), Josko, Izabela⁸ (AUTHOR), Sheteiwy, Mohamed S.⁹ (AUTHOR) msalah@uaeu.ac.ae, Alyafei, Mohamed Salem⁹ (AUTHOR), Sulieman, Saad^9,10 (AUTHOR)

Peripheral blood cytokine profiles predict the severity of SARS-CoV-2 infection: an EPIC³ study analysis.

Li, Xumin^1,2 (AUTHOR), Pakanati, Vivek¹ (AUTHOR), Liu, Cindy¹ (AUTHOR), Wang, Tracy¹ (AUTHOR), Morelli, Daniel¹ (AUTHOR), Korpak, Anna¹ (AUTHOR), Baraff, Aaron¹ (AUTHOR), Isaacs, Stuart N.^3,4 (AUTHOR), Vittor, Amy^5,6 (AUTHOR), Chang, Kyong-Mi^3,4 (AUTHOR), Le, Elizabeth⁷ (AUTHOR), Smith, Nicholas L.^1,2 (AUTHOR), Lee, Jennifer S.^7,8 (AUTHOR), Ross, Jennifer M.^1,9 (AUTHOR), Shah, Javeed A.^1,9 (AUTHOR) jashah@uw.edu, Aslan, Mihaela (AUTHOR), Cho, Kelly (AUTHOR), Gaziano, J. Michael (AUTHOR), Holodniy, Mark (AUTHOR), Hunt, Christine M. (AUTHOR)