An absolute magnitude deviation of HRV for the prediction of prediabetes with combined artificial neural network and regression tree methods
Sign Up to like & getrecommendations! Published in 2021 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-021-10040-0
Abstract: Early diagnosis of prediabetes is an effective solution to the rising cases of diabetes around the world. The heterogeneous physiological characteristics of the ECG signal recorded from the heart make it challenging to implement an… read more here.
Keywords: deviation; magnitude deviation; absolute magnitude; regression tree ... See more keywords
A comparative study of land subsidence susceptibility mapping of Tasuj plane, Iran, using boosted regression tree, random forest and classification and regression tree methods
Sign Up to like & getrecommendations! Published in 2020 at "Environmental Earth Sciences"
DOI: 10.1007/s12665-020-08953-0
Abstract: Land subsidence occurrence in the Tasuj plane is becoming more frequent and hazardous in the near future due to the water crisis. To mitigate damage caused by land subsidence events, it is necessary to determine… read more here.
Keywords: land subsidence; regression tree; land;
Geochemical indices and regression tree models for estimation of ambient background concentrations of copper, chromium, nickel and zinc in soil.
Sign Up to like & getrecommendations! Published in 2018 at "Chemosphere"
DOI: 10.1016/j.chemosphere.2018.06.138
Abstract: Geochemical ratios between elements of environmental concern and Fe have been recommended for estimation of "background" concentrations of Cr, Cu, Ni and Zn in soil. However, little research has occurred to assess the consistency of… read more here.
Keywords: background concentrations; models estimation; regression tree; background ... See more keywords
Using qualitative methods to support recovery of endangered species: The case of red-cockaded woodpecker foraging habitat
Sign Up to like & getrecommendations! Published in 2019 at "Global Ecology and Conservation"
DOI: 10.1016/j.gecco.2019.e00553
Abstract: Abstract Meta-analyses are powerful tools for synthesizing wildlife-habitat relationships, but small sample sizes and complex species-habitat relationships often preclude correlative meta-analyses on endangered species. In this study, we demonstrate qualitative comparative analysis (QCA) as a… read more here.
Keywords: sample sizes; habitat; regression tree; small sample ... See more keywords
Comparative performance of regression tree and parametric classification of savannah woody cover on SPOT 6 NAOMI imagery
Sign Up to like & getrecommendations! Published in 2019 at "Remote Sensing Applications: Society and Environment"
DOI: 10.1016/j.rsase.2018.10.015
Abstract: Abstract Earth observation data potentially can provide ecosystem state indicative data for use in nature conservation. Full realisation of this potential requires robust algorithms that can extract the required ecosystem attributes from imagery. Woody cover… read more here.
Keywords: savannah; woody cover; regression tree; tree ... See more keywords
Prognostic factors differ according to KRAS mutational status: A classification and regression tree model to define prognostic groups after hepatectomy for colorectal liver metastasis.
Sign Up to like & getrecommendations! Published in 2020 at "Surgery"
DOI: 10.1016/j.surg.2020.05.019
Abstract: BACKGROUND Although KRAS mutation status is known to affect the prognosis of patients with colorectal liver metastasis, the hierarchical association between other prognostic factors and KRAS status is not fully understood. METHODS Patients who underwent… read more here.
Keywords: tree model; regression tree; classification regression;
Prediction of Visual Prognosis after Epiretinal Membrane Surgery Using Regression Tree Analysis
Sign Up to like & getrecommendations! Published in 2021 at "Seminars in Ophthalmology"
DOI: 10.1080/08820538.2021.1896751
Abstract: ABSTRACT Background and Objective: Confounding factors should be considered when predicting visual prognosis after epiretinal membrane (ERM) surgery. We aimed to predict visual acuity after ERM surgery using regression tree analysis. Patients and Methods: We… read more here.
Keywords: surgery; visual prognosis; prognosis; regression tree ... See more keywords
Influential Observations in Bayesian Regression Tree Models
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Computational and Graphical Statistics"
DOI: 10.1080/10618600.2023.2210180
Abstract: BCART (Bayesian Classification and Regression Trees) and BART (Bayesian Additive Regression Trees) are popular Bayesian regression models widely applicable in modern regression problems. Their popularity is intimately tied to the ability to flexibly model complex… read more here.
Keywords: regression; bayesian regression; tree models; regression tree ... See more keywords
Robust logistic regression tree for subgroup identification in healthcare outcome modeling
Sign Up to like & getrecommendations! Published in 2020 at "IISE Transactions on Healthcare Systems Engineering"
DOI: 10.1080/24725579.2020.1759161
Abstract: Abstract Outcome data are routinely collected in healthcare practices and used for quality of care assessment and improvement. Logistic regression trees are a popular method for subgroup identification for binary outcome data. Outliers often exist… read more here.
Keywords: subgroup identification; logistic regression; regression tree; regression ... See more keywords
C‐reactive protein to albumin ratio is a key indicator in a predictive model for anastomosis leakage after esophagectomy: Application of classification and regression tree analysis
Sign Up to like & getrecommendations! Published in 2019 at "Thoracic Cancer"
DOI: 10.1111/1759-7714.12990
Abstract: Anastomotic leakage (AL), a serious complication after esophagectomy, might impair patient quality of life, prolong hospital stay, and even lead to surgery‐related death. The aim of this study was to show a novel decision model… read more here.
Keywords: leakage; model; regression tree; classification regression ... See more keywords
CA-XTree: Age Estimation of Grouped Gradient Regression Tree with Local Channel Attention
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/4155461
Abstract: Face age estimation has been widely used in video surveillance, human-computer interaction, market analysis, image processing analysis, and many fields. There are several problems that need to be solved in image-based face age estimation: (1)… read more here.
Keywords: age estimation; local channel; age; channel attention ... See more keywords