Algorithm to determine the outcome of patients with acute liver failure: a data-mining analysis using decision trees. - Wikidata - wikimedia - TriplyDB

Algorithm to determine the outcome of patients with acute liver failure: a data-mining analysis using decision trees.

Algorithm to determine the outcome of patients with acute liver failure: a data-mining analysis using decision trees.

http://www.wikidata.org/entity/Q34189027

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The Honolulu Liver Disease Cluster at the Medical Center: Its Mysteries and Challenges Application of machine learning algorithms for clinical predictive modeling: a data-mining approach in SCT.Developing screening services for colorectal cancer on Android smartphones Lipid profile is associated with the incidence of cognitive dysfunction in viral cirrhotic patients: A data-mining analysis.Predicting outcome on admission and post-admission for acetaminophen-induced acute liver failure using classification and regression tree models Usefulness of a decision tree model for the analysis of adverse drug reactions: Evaluation of a risk prediction model of vancomycin-associated nephrotoxicity constructed using a data mining procedure.Acute liver failure in Japan: definition, classification, and prediction of the outcome.Drug Induced Liver Injury: Can Biomarkers Assist RUCAM in Causality Assessment?Etiology and prognosis of fulminant hepatitis and late-onset hepatic failure in Japan: Summary of the annual nationwide survey between 2004 and 2009.Wisteria floribunda agglutinin positive Mac-2-binding protein level increases in patients with acute liver injury.Application of Machine Learning Techniques for Clinical Predictive Modeling: A Cross-Sectional Study on Nonalcoholic Fatty Liver Disease in China

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P2860

Algorithm to determine the outcome of patients with acute liver failure: a data-mining analysis using decision trees.

http://www.wikidata.org/entity/Q34189027

description

2012 nî lūn-bûn

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2012 թուականի Մարտին հրատարակուած գիտական յօդուած

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2012 թվականի մարտին հրատարակված գիտական հոդված

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2012年の論文

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2012年論文

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2012年論文

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2012年論文

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2012年論文

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2012年論文

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2012年论文

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name

Algorithm to determine the out ...... analysis using decision trees.

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Algorithm to determine the out ...... analysis using decision trees.

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Algorithm to determine the out ...... analysis using decision trees.

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type

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Algorithm to determine the out ...... analysis using decision trees.

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Algorithm to determine the out ...... analysis using decision trees.

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Algorithm to determine the out ...... analysis using decision trees.

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Algorithm to determine the out ...... analysis using decision trees.

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Algorithm to determine the out ...... analysis using decision trees.

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Algorithm to determine the out ...... analysis using decision trees.

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Algorithm to determine the out ...... analysis using decision trees.

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Hirohito Tsubouchi

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Kenji Fujiwara

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Makoto Oketani

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Mie Inao

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Nobuaki Nakayama

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Satoshi Mochida

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Sumiko Nagoshi

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Yoshihiro Kawamura

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P2860

Early indicators of prognosis in fulminant hepatic failure

Predictive data mining in clinical medicine: current issues and guidelines.

Molecular signature associated with plasticity of bone marrow cell under persistent liver damage by self-organizing-map-based gene expression.

Pretreatment prediction of response to peginterferon plus ribavirin therapy in genotype 1 chronic hepatitis C using data mining analysis.

Sequences in the interferon sensitivity-determining region and core region of hepatitis C virus impact pretreatment prediction of response to PEG-interferon plus ribavirin: data mining analysis.

Data mining reveals complex interactions of risk factors and clinical feature profiling associated with the staging of non-hepatitis B virus/non-hepatitis C virus-related hepatocellular carcinoma.

Data mining model using simple and readily available factors could identify patients at high risk for hepatocellular carcinoma in chronic hepatitis C.

Symposium on clinical aspects in hepatitis virus infection. 2. Recent advances in acute and fulminant hepatitis in Japan.

A multicenter, prospective validation of disseminated intravascular coagulation diagnostic criteria for critically ill patients: comparing current criteria.

Community health assessment using self-organizing maps and geographic information systems.

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10.1007/S00535-012-0529-8

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6

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47

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2012-03-09T00:00:00Z

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22402772

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