Predicting 10-day Mortality in Patients with Strokes Using Neural Networks and Multivariate Statistical Methods

Multivariate Statistical

Connections between Neural Networks and Multivariate Statistical Methods: An Overview**An important recent development in the statistics community is to consider neural networks as a subdiscipline of multivariate statistics, instead of a branch in artificial intelligence, as emphasized in this text. To help our reader better understand the similarities and differences between neural networks and multivariate statistical methods, we have invited Professor Bakshi and Mr. Utojo to prepare this appendix. Because of our page limitation, the level of coverage in this appendix is more appropriate for those readers with some background in multivariate statistics.

Neural Networks in Bioprocessing and Chemical Engineering ◽

10.1016/b978-0-12-083030-5.50013-8 ◽

1995 ◽

pp. 435-459 ◽

Cited By ~ 1

Author(s):

Utomo Utojo ◽

Bhavik R. Bakshi

Keyword(s):

Artificial Intelligence ◽

Neural Networks ◽

Statistical Methods ◽

Multivariate Statistics ◽

Similarities And Differences

Multivariate Statistical Methods and Neural Networks for the Identification of Pollution Sources and Classification of the Apulia Region Ground Waters

10.13031/2013.41427 ◽

2012 ◽

Author(s):

Pierina Ielpo ◽

Daniela Cassano ◽

Antonio Lopez ◽

Giuseppe Pappagallo ◽

Vito Felice Uricchio ◽

...

Keyword(s):

Neural Networks ◽

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Ground Waters

Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey

Expert Systems with Applications ◽

10.1016/j.eswa.2008.01.003 ◽

2009 ◽

Vol 36 (2) ◽

pp. 3355-3366 ◽

Cited By ~ 128

Author(s):

Melek Acar Boyacioglu ◽

Yakup Kara ◽

Ömer Kaan Baykan

Keyword(s):

Neural Networks ◽

Comparative Analysis ◽

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Statistical Methods ◽

Deposit Insurance ◽

Support Vector ◽

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Section 7 update: Multivariate statistical methods and artificial neural networks for analysis of microbial community molecular fingerprints

Molecular Microbial Ecology Manual ◽

10.1007/978-1-4020-2177-0_706 ◽

2008 ◽

pp. 3349-3387

Author(s):

Sherry Dollhopf ◽

HÉctor Ayala-Del-RÍo ◽

Syed Hashsham ◽

James Tiedje

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Microbial Community ◽

Statistical Methods ◽

Molecular Fingerprints ◽

Artificial Neural

Section 7 update: Multivariate statistical methods and artificial neural networks for analysis of microbial community molecular fingerprints

10.1007/springerreference_76352 ◽

2012 ◽

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Microbial Community ◽

Statistical Methods ◽

Molecular Fingerprints ◽

Artificial Neural

Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment ◽

B-quark tagging using neural networks and multivariate statistical methods A comparison of both techniques

10.1016/0168-9002(93)91286-v ◽

1993 ◽

Vol 329 (3) ◽

pp. 501-517 ◽

Cited By ~ 9

Author(s):

K.H. Becks ◽

F. Block ◽

J. Drees ◽

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Statistical Methods ◽

B Quark

Analysis of Sources of Dioxin Contamination in Sediments and Soils Using Multivariate Statistical Methods and Neural Networks

Environmental Science & Technology ◽

10.1021/es030073t ◽

2003 ◽

Vol 37 (24) ◽

pp. 5559-5565 ◽

Cited By ~ 28

Author(s):

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Raimund Lauer

Keyword(s):

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Statistical Methods ◽

Dioxin Contamination

Identification of Pollution Sources and Classification of Apulia Region Groundwaters by Multivariate Statistical Methods and Neural Networks

Transactions of the ASABE ◽

10.13031/trans.56.9976 ◽

2013 ◽

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Statistical Methods ◽

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Assessment of Surface and Groundwater Resources Quality Close to Municipal Solid Waste Landfill Using Multiple Indicators and Multivariate Statistical Methods

International Journal of Environmental Research ◽

10.1007/s41742-020-00307-9 ◽

2021 ◽

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Nematollah Khorasani ◽

Jamal Ghodousi ◽

Mostafa Panahi

Keyword(s):

Municipal Solid Waste ◽

Solid Waste ◽

Statistical Methods ◽

Groundwater Resources ◽

Municipal Solid Waste Landfill ◽

Waste Landfill ◽

Multiple Indicators ◽

Surface And Groundwater

Analysis of the National Toxicology Program data on in vitro genetic toxicity tests using multivariate statistical methods

Mutagenesis ◽

10.1093/mutage/4.6.412 ◽

1989 ◽

Vol 4 (6) ◽

pp. 412-419 ◽

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Keyword(s):

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Genetic Toxicity ◽

National Toxicology Program ◽

Program Data