Results 301 to 310 of about 6,285,017 (364)

Mortality and economic burden of PM2.5 and NO2 in Thailand using satellite remote sensing and Random Forest algorithms

Thunyachote Khempunjakul, Arthit Phosri, Kamolrat Sangkharat, Khanut Thongphunchung, Suwimon Kanchanasuta, Withida Patthanaissaranukool   +5 more
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Application of generalized linear mixed effects random forest for identifying risk factors of prediabetes in Tehran Lipid and Glucose Study. [PDF]

Sci Rep
Karimi Ghahfarokhi M, Zayeri F, Khalili D, Masci C, Sheidaei A, Mehrali Y, Masaebi F, Mehrabi Y.   +7 more
europepmc   +1 more source

A Hybrid Random Forest–LSTM Framework for Robust Crop Recommendation

Hadya Boufera, S. Abid, Cherifa Boudia
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Developing predictive models for COVID-19 positive tests based on the XGBoost and random forest algorithms with internet search data. [PDF]

BMC Public Health
Chang Y, Chen J, Chen X, Wu Y, Tang H, Wu G, Sun J, Liao Y, Chen H, Cai S, Hao Y, Zhang W, Du Z.   +12 more
europepmc   +1 more source

Empirical Likelihood for Random Forests and Ensembles

Chiang, Harold D., Matsushita, Yukitoshi, Otsu, Taisuke   +2 more
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Assessing Random Forest self-reproducibility for optimal short biomarker signature discovery. [PDF]

Brief Bioinform
Debit A, Poulet C, Josse C, Jerusalem G, Azencott CA, Bours V, Van Steen K.   +6 more
europepmc   +1 more source

Features with their corresponding Gini feature importance scores for decision trees and random forests predicting hospitalizations after outpatient urinary tract infection (UTI).

Varuni Sarwal (6291391), Nadav Rakocz (13770105), Georgina Dominique (21656398), Jeffrey N. Chiang (9406696), A. Lenore Ackerman (6635156)   +4 more
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Random Forest

Journal of Insurance Medicine, 2017
For the task of analyzing survival data to derive risk factors associated with mortality, physicians, researchers, and biostatisticians have typically relied on certain types of regression techniques, most notably the Cox model. With the advent of more widely distributed computing power, methods which require more complex mathematics have become ...
S. Rigatti
openaire   +3 more sources

Random forest in remote sensing: A review of applications and future directions

ISPRS Journal of Photogrammetry and Remote Sensing, 2016
Mariana Belgiu
exaly   +2 more sources

Improvement Performance of the Random Forest Method on Unbalanced Diabetes Data Classification Using Smote-Tomek Link

JOIV: International Journal on Informatics Visualization, 2023
Most of the health data contained unbalanced data that affected the performance of the classification method. Unbalanced data causes the classification method to classify the majority data more and ignore the minority class.
Hairani Hairani, Anthony Anggrawan, Dadang Priyanto   +2 more
semanticscholar   +1 more source