Results 81 to 90 of about 3,771,811 (275)

Three local search-based methods for feature selection in credit scoring

open access: yesVietnam Journal of Computer Science, 2018
Credit scoring is a crucial problem in both finance and banking. In this paper, we tackle credit scoring as a classification problem where three local search-based methods are studied for feature selection.
Dalila Boughaci   +1 more
doaj   +1 more source

Ethnic Differences in the Association Between SOD2 rs4880 and Hepatotoxicity in Pediatric Acute Lymphoblastic Leukemia: A Report From the REDIAL Consortium

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Treatment‐associated hepatotoxicity (TAH) is a common complication of pediatric acute lymphoblastic leukemia (ALL) treatment, but genetic risk factors remain poorly understood. We evaluated the SOD2 rs4880 variant in 544 children with ALL at Texas Children's Hospital. After adjusting for demographic and clinical covariates, the rs4880 C allele
Emily J. Mason   +14 more
wiley   +1 more source

Assessing Cognitive Functioning in Children With Brain Tumors: Interaction of Neighborhood Social Determinants of Health and Neurological Risk

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background This study investigated how neighborhood‐level social determinants of health (SDOH), including redlining and neurological risk, interact to influence cognitive outcomes in children treated for brain tumors (CTBT). Methods A retrospective chart review of 161 CTBT aged 5–17 was conducted.
Alannah R. Srsich   +5 more
wiley   +1 more source

The Analysis of Selection and Training Model in Efforts to Increase Employee Performance PT. Arzuro Hr Performance [PDF]

open access: yes, 2019
The study conducted at PT Arzuro Kinerja SDM aims to prove empirically the effect of selection and training on employee performance, both partially and simultaneously.
Dinantara, M. D. (Mohamad)
core  

Serological Benefit of SARS‐CoV‐2 Vaccination Relative to Infection in Children With Acute Lymphoblastic Leukemia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro   +11 more
wiley   +1 more source

Variable Selection in Time Series Forecasting Using Random Forests

open access: yesAlgorithms, 2017
Time series forecasting using machine learning algorithms has gained popularity recently. Random forest is a machine learning algorithm implemented in time series forecasting; however, most of its forecasting properties have remained unexplored.
Hristos Tyralis   +1 more
doaj   +1 more source

Variable Selection for Portfolio Choice [PDF]

open access: yes
We study asset allocation when the conditional moments of returns are partly predictable. Rather than first model the return distribution and subsequently characterize the portfolio choice, we determine directly the dependence of the optimal portfolio ...
Michael W. BRANDT, Yacine AÏT-SAHALIA,
core  

Deep Sequencing of FLT3‐ITD Enables Response Evaluation and Post‐Treatment Monitoring in Childhood AML: An Exploratory Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm   +11 more
wiley   +1 more source

Evolutionary shift detection with ensemble variable selection

open access: yesBMC Ecology and Evolution
Abrupt environmental changes can lead to evolutionary shifts in trait evolution. Identifying these shifts is an important step in understanding the evolutionary history of phenotypes. The detection performances of different methods are influenced by many
Wensha Zhang   +2 more
doaj   +1 more source

Bayesian Model Averaging and Regularized Regression as Methods for Data-Driven Model Exploration, with Practical Considerations

open access: yesStats
Methodological experts suggest that psychological and educational researchers should employ appropriate methods for data-driven model exploration, such as Bayesian Model Averaging and regularized regression, instead of conventional hypothesis-driven ...
Hyemin Han
doaj   +1 more source

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