Risk estimation and risk prediction using machine-learning methods.
about
Improved prediction of complex diseases by common genetic markers: state of the art and further perspectivesPersonalized medicine using DNA biomarkers: a reviewRegularized Machine Learning in the Genetic Prediction of Complex TraitsMachine learning and data mining in complex genomic data--a review on the lessons learned in Genetic Analysis Workshop 19.Predicting disease risk using bootstrap ranking and classification algorithms.Building a genetic risk model for bipolar disorder from genome-wide association data with random forest algorithm.Machine learning derived risk prediction of anorexia nervosaStudy designs and methods post genome-wide association studies.Genetic variants and their interactions in disease risk prediction - machine learning and network perspectivesCrowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis.Calibrating random forests for probability estimation.Whole genome sequencing in support of wellness and health maintenance.Probability estimation with machine learning methods for dichotomous and multicategory outcome: theory.Class probability estimation for medical studies.Applicability of gene expression and systems biology to develop pharmacogenetic predictors; antipsychotic-induced extrapyramidal symptoms as an example.Moving beyond regression techniques in cardiovascular risk prediction: applying machine learning to address analytic challenges.Variations in inflammatory genes as molecular markers for prediction of inflammatory bowel disease occurrence.Probability estimation with machine learning methods for dichotomous and multicategory outcome: applications.Genetic Test, Risk Prediction, and Counseling.Advances in predicting venous thromboembolism risk in children.Joint effect of unlinked genotypes: application to type 2 diabetes in the EPIC-Potsdam case-cohort study.Mining data with random forests: current options for real-world applicationsHuman Genome Project
P2860
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P2860
Risk estimation and risk prediction using machine-learning methods.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Risk estimation and risk prediction using machine-learning methods.
@ast
Risk estimation and risk prediction using machine-learning methods.
@en
type
label
Risk estimation and risk prediction using machine-learning methods.
@ast
Risk estimation and risk prediction using machine-learning methods.
@en
prefLabel
Risk estimation and risk prediction using machine-learning methods.
@ast
Risk estimation and risk prediction using machine-learning methods.
@en
P2860
P50
P1433
P1476
Risk estimation and risk prediction using machine-learning methods
@en
P2093
Jochen Kruppa
P2860
P2888
P304
P356
10.1007/S00439-012-1194-Y
P577
2012-07-03T00:00:00Z