Improved Variable Selection Algorithm Using a LASSO-Type Penalty, with an Application to Assessing Hepatitis B Infection Relevant Factors in Community Residents.
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Monitoring seasonal influenza epidemics by using internet search data with an ensemble penalized regression model.Developing and validating a novel multisource comorbidity score from administrative data: a large population-based cohort study from Italy.Using network analysis for the prediction of treatment dropout in patients with mood and anxiety disorders: A methodological proof-of-concept study.Evolutionary methods for variable selection in the epidemiological modeling of cardiovascular diseases
P2860
Improved Variable Selection Algorithm Using a LASSO-Type Penalty, with an Application to Assessing Hepatitis B Infection Relevant Factors in Community Residents.
description
2015 nî lūn-bûn
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2015年の論文
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2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
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2015年论文
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2015年论文
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name
Improved Variable Selection Al ...... actors in Community Residents.
@ast
Improved Variable Selection Al ...... actors in Community Residents.
@en
type
label
Improved Variable Selection Al ...... actors in Community Residents.
@ast
Improved Variable Selection Al ...... actors in Community Residents.
@en
prefLabel
Improved Variable Selection Al ...... actors in Community Residents.
@ast
Improved Variable Selection Al ...... actors in Community Residents.
@en
P2093
P2860
P1433
P1476
Improved Variable Selection Al ...... actors in Community Residents.
@en
P2093
Dingmei Zhang
Fangfang Zeng
Shuming Zhu
Xiaomin Hu
Yuantao Hao
P2860
P304
P356
10.1371/JOURNAL.PONE.0134151
P407
P577
2015-07-27T00:00:00Z