Analysis of sampling techniques for imbalanced data: An n = 648 ADNI study.
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2014 Update of the Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception.The feasibility of white matter volume reduction analysis using SPM8 plus DARTEL for the diagnosis of patients with clinically diagnosed corticobasal syndrome and Richardson's syndrome.Metabolomic biosignature differentiates melancholic depressive patients from healthy controls.Multivariate binary classification of imbalanced datasets-A case study based on high-dimensional multiplex autoimmune assay data.Identifying a clinical signature of suicidality among patients with mood disorders: A pilot study using a machine learning approach.Prediction of Conversion from Mild Cognitive Impairment to Alzheimer's Disease Using MRI and Structural Network FeaturesAutomated gene expression pattern annotation in the mouse brainEnhancement of hepatitis virus immunoassay outcome predictions in imbalanced routine pathology data by data balancing and feature selection before the application of support vector machines.Melancholic depression prediction by identifying representative features in metabolic and microarray profiles with missing values.Volume of Interest Analysis of Spatially Normalized PRESTO Imaging to Differentiate between Parkinson Disease and Atypical Parkinsonian SyndromeAn empirical study of a hybrid imbalanced-class DT-RST classification procedure to elucidate therapeutic effects in uremia patients.Classifying MCI Subtypes in Community-Dwelling Elderly Using Cross-Sectional and Longitudinal MRI-Based Biomarkers.Cortical thickness patterns as state biomarker of anorexia nervosa.Machine Learning: An Approach in Identifying Risk Factors for Coercion Compared to Binary Logistic Regression.Prediction Is a Balancing Act: Importance of Sampling Methods to Balance Sensitivity and Specificity of Predictive Models Based on Imbalanced Chemical Data SetsDelirium Prediction using Machine Learning Models on Preoperative Electronic Health Records Data
P2860
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P2860
Analysis of sampling techniques for imbalanced data: An n = 648 ADNI study.
description
2013 nî lūn-bûn
@nan
2013 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Analysis of sampling techniques for imbalanced data: An n = 648 ADNI study.
@ast
Analysis of sampling techniques for imbalanced data: An n = 648 ADNI study.
@en
type
label
Analysis of sampling techniques for imbalanced data: An n = 648 ADNI study.
@ast
Analysis of sampling techniques for imbalanced data: An n = 648 ADNI study.
@en
prefLabel
Analysis of sampling techniques for imbalanced data: An n = 648 ADNI study.
@ast
Analysis of sampling techniques for imbalanced data: An n = 648 ADNI study.
@en
P2093
P2860
P1433
P1476
Analysis of sampling techniques for imbalanced data: An n = 648 ADNI study.
@en
P2093
Jiayu Zhou
Jieping Ye
Rashmi Dubey
Yalin Wang
P2860
P304
P356
10.1016/J.NEUROIMAGE.2013.10.005
P407
P577
2013-10-29T00:00:00Z