Single stage and multistage classification models for the prediction of liver fibrosis degree in patients with chronic hepatitis C infection

Hashem, Ahmed M.; Rasmy, M.E.; Wahba, Khaled; Shaker, Olfat G.

doi:10.1016/j.cmpb.2011.10.005

Cited by 26 publications

(12 citation statements)

References 24 publications

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“…This is a quantitative systematic approach that allows clinicians to maximize the net benefit to patients 27 . Decision‐tree algorithms are now clinically applied to predict the following issues: response to interferon treatment of hepatitis C virus (HCV); 28 severity of hepatic fibrosis; 29 progression of hepatocellular carcinoma; 29 safety of hepatic resection; 30 outcome of patients with acute liver failure; 31 and dietary factors for normalizing serum alanine aminotransferase levels in patients with HCV infection 26 …”

Section: Introductionmentioning

confidence: 99%

Lipid profile is associated with the incidence of cognitive dysfunction in viral cirrhotic patients: A data‐mining analysis

Taniguchi¹,

Kawaguchi²,

Sakata³

et al. 2012

Hepatology Research

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The levels of total bilirubin, FFA and triglycerides are independently associated with the incidence of CD in cirrhotic patients. In addition, a decision-tree algorithm revealed that FFA of more than 514 mEq/L or triglycerides of less than 106 mg/dL is a profile associated with the incidence of CD. Thus, this lipid profile could be a possible screening bioparameter for CD in cirrhotic patients.

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Section: Introductionmentioning

confidence: 99%

Lipid profile is associated with the incidence of cognitive dysfunction in viral cirrhotic patients: A data‐mining analysis

Taniguchi¹,

Kawaguchi²,

Sakata³

et al. 2012

Hepatology Research

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“…These statistical methods have been described previously in the field of hepatic diseases [30][31][32]. The performance of these techniques was compared.…”

Section: Development Of Predictive Models Using Data Mining Analysismentioning

confidence: 99%

FibroGENE: A gene-based model for staging liver fibrosis

Eslam

Hashem

Romero–Gómez

et al. 2016

Journal of Hepatology

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: A gene-based model for staging liver fibrosis, Journal of Hepatology (2015), doi: http://dx.doi.org/10. 1016/j.jhep.2015.11.008 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Background& aim: The extent of liver fibrosis predicts long term outcomes, and hence impacts

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“…For example, cascade classification was employed to diagnose the degree of fibrosis in patients with chronic hepatitis C infections [10]. The study reports better classification accuracy of the cascade classifier compared to the single stage classifier.…”

Section: B Cascade Classificationmentioning

confidence: 99%

“…The classification process in the cascade classifiers is very similar to the process that doctors follow to make diagnoses; it is a multistage decision process, in which doctors reject the probable diagnoses, one by one, until determining the correct diagnosis. Research indicates that this type of classification has shown improvement in performance, compared to the one-stage classification [10,11,12]. This paper introduces a novel cascade configuration using a random forest classifier for diagnosing dementia based on CDT drawings.…”

Section: Introductionmentioning

confidence: 99%

Cascade classification for diagnosing dementia

Bennasar

Setchi

Hicks

et al. 2014

2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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Dementia is a syndrome caused by a chronic or progressive disease of the brain, which affects memory, orientation, thinking, calculation, learning ability and language. The Clock Drawing Test (CDT) and Mini Mental State Examination (MMSE) are well-known cognitive assessment tests. A known obstacle to the wider usage of the CDT assessments is the scoring and interpretation of the results. This paper introduces a novel cascade CDT classifier, which can help in the diagnosis of three stages of dementia. The data used in this research are 604 clock drawings produced by patients and healthy individuals. The study employs 47 visual features, which are selected following a comprehensive analysis of the available data and the most common CDT scoring systems reported in the medical literature. These features are used to build a new digitized dataset needed to train and validate the proposed classifier. The results show significant improvement of 6.8% in differentiating between three levels of dementia (normal/ functional, mild cognitive impairment/mild dementia, and moderate/severe dementia) when compared to a single stage classifier. In particular, the results show classification accuracy of over 89% when discriminating between normal and abnormal conditions only.

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Single stage and multistage classification models for the prediction of liver fibrosis degree in patients with chronic hepatitis C infection

Cited by 26 publications

References 24 publications

Lipid profile is associated with the incidence of cognitive dysfunction in viral cirrhotic patients: A data‐mining analysis

Lipid profile is associated with the incidence of cognitive dysfunction in viral cirrhotic patients: A data‐mining analysis

FibroGENE: A gene-based model for staging liver fibrosis

Cascade classification for diagnosing dementia

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