Prediction and cross-validation of neural networks versus logistic regression: using hepatic disorders as an example.
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Comparison of artificial neural networks with other statistical approaches: results from medical data sets.A new approach to training back-propagation artificial neural networks: empirical evaluation on ten data sets from clinical studies.Statistical learning techniques applied to epidemiology: a simulated case-control comparison study with logistic regression.Pattern recognition in health insurance claims databases.Glycosylation variants of mucins and CEACAMs as candidate biomarkers for the diagnosis of pancreatic cystic neoplasmsA risk index for prostate cancer.Artificial neural networks in prediction of bone density among post-menopausal women.Prediction of periventricular leukomalacia. Part II: Selection of hemodynamic features using computational intelligence[Use of an artificial neural network to predict the incidence of malaria in the city of Cantá, state of Roraima].[Use of an artificial neural network for detecting excess deaths due to cholera in Ceará, Brazil].
P2860
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P2860
Prediction and cross-validation of neural networks versus logistic regression: using hepatic disorders as an example.
description
1998 nî lūn-bûn
@nan
1998年の論文
@ja
1998年論文
@yue
1998年論文
@zh-hant
1998年論文
@zh-hk
1998年論文
@zh-mo
1998年論文
@zh-tw
1998年论文
@wuu
1998年论文
@zh
1998年论文
@zh-cn
name
Prediction and cross-validatio ...... patic disorders as an example.
@en
type
label
Prediction and cross-validatio ...... patic disorders as an example.
@en
prefLabel
Prediction and cross-validatio ...... patic disorders as an example.
@en
P2093
P1476
Prediction and cross-validatio ...... patic disorders as an example.
@en
P2093
P304
P356
10.1093/OXFORDJOURNALS.AJE.A009464
P407
P577
1998-02-01T00:00:00Z