Comparative study of intelligent models for the prediction of bladder cancer progression.

Comparative study of intelligent models for the prediction of bladder cancer progression.

New techniques for the prediction of tumour behaviour are needed since statistical analysis has low accuracy and is not applicable to the individual. Artificial intelligence (AI) may provide suitable methods. We have compared the predictive accuracies of neuro-fuzzy modelling (NFM), artificial neura...

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Bibliografiske detaljer
Main Authors:	Abbod, M, Linkens, D, Catto, J, Hamdy, F
Format:	Journal article
Sprog:	English
Udgivet:	2006

Lignende værker

Neuro-fuzzy modeling: an accurate and interpretable method for predicting bladder cancer progression.
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Udgivet: (2006)

Artificial intelligence for the prediction bladder cancer
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Artificial intelligence in predicting bladder cancer outcome: a comparison of neuro-fuzzy modeling and artificial neural networks.
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Promoter hypermethylation identifies progression risk in bladder cancer.
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Predictive modeling in cancer: where systems biology meets the stock market.
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Application of artificial intelligence to the management of urological cancer
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Improving gene array analysis: The application of artificial intelligence identifies novel biomarkers of non invasive papillary bladder cancer progression
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Artificial intelligence technique for gene expression profiling of urinary bladder cancer
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Udgivet: (2006)

Artificial intelligence and bladder cancer arrays.
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Neurofuzzy modeling to determine recurrence risk following radical cystectomy for nonmetastatic urothelial carcinoma of the bladder.
af: Catto, J, et al.
Udgivet: (2009)

Artificial intelligence technique for gene expression profiling of urinary bladder cancer
af: Abbod, M, et al.
Udgivet: (2006)

Development of a prognostic marker panel in bladder cancer using aberrant promoter methylation
af: Catto, J, et al.
Udgivet: (2007)

The application of artificial intelligence to microarray data: identification of a novel gene signature to identify bladder cancer progression.
af: Catto, J, et al.
Udgivet: (2010)

Artificial intelligence re-analysis of gene array data identifies novel markers of urothelial cancer progression
af: Catto, J, et al.
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Targeting chemotherapy to advanced bladder cancer patients most likely to benefit.
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URINARY MICRORNA IN BLADDER CANCER - A POTENTIAL DIAGNOSTIC TOOL
af: Miah, S, et al.
Udgivet: (2011)

Reply from Authors re: David J. DeGraff. Novel Use of a Combined Artificial Intelligence Approach to Identify Patients with Noninvasive Urothelial Cell Carcinoma of the Urinary Bladder Who Are at Greatest Risk for Progression to Muscle-Invasive Disease: A Step Forward. Eur Urol 2010; 57: 407-8
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Udgivet: (2010)

Genetic instability and transitional cell carcinoma of the bladder.
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Udgivet: (2004)

Comparing gene promoter methylation frequencies in urine from patients with bladder cancer with urine from non-cancerous young and elderly control patients
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Udgivet: (2005)

Methylational urinalysis: a prospective study of bladder cancer patients and age stratified benign controls.
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Less is more: artificial intelligence and gene-expression arrays.
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Udgivet: (2004)

The role of genetic instability in the pathogenesis and progression of urothelial carcinoma
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An evaluation of urinary microRNA reveals a high sensitivity for bladder cancer
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Udgivet: (2012)

An evaluation of urinary microRNA reveals a high sensitivity for bladder cancer.
af: Miah, S, et al.
Udgivet: (2012)

Differential expression of hMLH1 and hMSH2 is related to bladder cancer grade, stage and prognosis but not microsatellite instability.
af: Catto, J, et al.
Udgivet: (2003)

Aberrant promoter methylation in pre-malignant and invasive tumours of the urinary bladder
af: Yates, D, et al.
Udgivet: (2005)

A gene promoter hypermethylation panel to detect transitional cell carcinoma of the bladder
af: Yates, DR, et al.
Udgivet: (2006)

Suitability of PSA-detected localised prostate cancers for focal therapy: experience from the ProtecT study.
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Udgivet: (2011)

Suitability of PSA-detected localised prostate cancers for focal therapy: Experience from the ProtecT study
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Hypermethylation of CpG islands and shores around specific microRNAs and mirtrons is associated with the phenotype and presence of bladder cancer.
af: Dudziec, E, et al.
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Progress in bladder cancer research /
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Hypoxia regulated miRNAs in bladder cancer
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MicroRNA in prostate, bladder, and kidney cancer: A systematic review
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MicroRNA in prostate, bladder, and kidney cancer: a systematic review.
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The Role of Intelligence in Systems Engineering ( ‘Render Unto Caesar the things That are Caesar's’)
af: D A Linkens
Udgivet: (1993-10-01)

The Effect of Bladder Outlet Obstruction on Bladder Cancer Recurrence and Progression
af: Utku Can, et al.
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Distinct microRNA alterations characterize high- and low-grade bladder cancer.
af: Catto, J, et al.
Udgivet: (2009)

Distinct microRNA alterations characterize high- and low-grade bladder cancer
af: Catto, J, et al.
Udgivet: (2009)

Circulating microRNAs are associated with the development and progression of prostate cancer
af: Bryant, R, et al.
Udgivet: (2012)

Progress in Personalizing Chemotherapy for Bladder Cancer
af: James S. Chang, et al.
Udgivet: (2012-01-01)