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Literature DB >> 21057884

A study on hepatitis disease diagnosis using probabilistic neural network.

Abstract

Hepatitis is a major public health problem all around the world. Hepatitis disease diagnosis via proper interpretation of the hepatitis data is an important classification problem. In this study, a comparative hepatitis disease diagnosis study was realized. For this purpose, a probabilistic neural network structure was used. The results of the study were compared with the results of the previous studies reported focusing on hepatitis disease diagnosis and using same UCI machine learning database.

Entities: Disease

Mesh：

Year: 2010 PMID： 21057884 DOI： 10.1007/s10916-010-9621-x

Source DB: PubMed Journal: J Med Syst ISSN： 0148-5598 Impact factor: 4.460

5 in total

1. ARTMAP-IC and medical diagnosis: Instance counting and inconsistent cases.

Authors: G A Carpenter; N Markuzon
Journal: Neural Netw Date: 1998-03

2. A study on hepatitis disease diagnosis using multilayer neural network with levenberg marquardt training algorithm.

Authors: M Serdar Bascil; Feyzullah Temurtas
Journal: J Med Syst Date: 2009-10-16 Impact factor: 4.460

3. Predicting breast cancer survivability: a comparison of three data mining methods.

Authors: Dursun Delen; Glenn Walker; Amit Kadam
Journal: Artif Intell Med Date: 2005-06 Impact factor: 5.326

4. An analysis of thyroid function diagnosis using Bayesian-type and SOM-type neural networks.

Authors: Kenji Hoshi; Junko Kawakami; Mitiko Kumagai; Sanae Kasahara; Noriaki Nishimura; Hitoshi Nakamura; Kenichi Sato
Journal: Chem Pharm Bull (Tokyo) Date: 2005-12 Impact factor: 1.645

5. A hybrid approach to medical decision support systems: combining feature selection, fuzzy weighted pre-processing and AIRS.

Authors: Kemal Polat; Salih Güneş
Journal: Comput Methods Programs Biomed Date: 2007-09-19 Impact factor: 5.428

5 in total

7 in total

A study on hepatitis disease diagnosis using probabilistic neural network.

1. ARTMAP-IC and medical diagnosis: Instance counting and inconsistent cases.

2. A study on hepatitis disease diagnosis using multilayer neural network with levenberg marquardt training algorithm.

3. Predicting breast cancer survivability: a comparison of three data mining methods.

4. An analysis of thyroid function diagnosis using Bayesian-type and SOM-type neural networks.

5. A hybrid approach to medical decision support systems: combining feature selection, fuzzy weighted pre-processing and AIRS.

Review 1. Developing and using expert systems and neural networks in medicine: a review on benefits and challenges.

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4. Lopinavir Resistance Classification with Imbalanced Data Using Probabilistic Neural Networks.

5. Automatic classification of schizophrenia patients using resting-state EEG signals.

6. Baicalin relieves inflammation stimulated by lipopolysaccharide via upregulating TUG1 in liver cells.

7. Interval probabilistic neural network.