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03501nam a2200517 4500 |
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978-3-7908-1804-8 |
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DE-He213 |
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20191028101153.0 |
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cr nn 008mamaa |
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121204s2002 gw | s |||| 0|eng d |
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|a 9783790818048
|9 978-3-7908-1804-8
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|a 10.1007/978-3-7908-1804-8
|2 doi
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|a 502.85
|2 23
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|a Fuzzy Logic in Medicine
|h [electronic resource] /
|c edited by Senen Barro, Roque Marin.
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| 250 |
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|a 1st ed. 2002.
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| 264 |
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1 |
|a Heidelberg :
|b Physica-Verlag HD :
|b Imprint: Physica,
|c 2002.
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| 300 |
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|a X, 310 p.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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| 490 |
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|a Studies in Fuzziness and Soft Computing,
|x 1434-9922 ;
|v 83
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| 505 |
0 |
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|a A Call for a Stronger Role for Fuzzy Logic in Medicine -- Fuzzy Information Granulation of Medical Images. Blood Vessel Extraction from 3-D MRA Images -- Breast Cancer Classification Using Fuzzy Central Moments -- Awareness Monitoring and Decision-Making for General Anaesthesia -- Depth of Anesthesia Control with Fuzzy Logic -- Intelligent Alarms for Anaesthesia Monitoring Based on a Fuzzy Logic Approach -- Fuzzy Clustering in Medicine: Applications to Electrophysiological Signal Processing -- Fuzzy Logic in a Decision Support System in the Domain of Coronary Heart Disease Risk Assessment -- A Model-based Temporal Abductive Diagnosis Model for an Intensive Coronary Care Unit -- A Fuzzy Model for Pattern Recognition in the Evolution of Patients -- Mass Assignment Methods for Medical Classification Diagnosis -- Acquisition of Fuzzy Association Rules from Medical Data.
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| 520 |
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|a The book covers recent developments in theory, methodologies and applications of fuzzy logic in medicine. A representative and diverse range of original and innovative topics are selected, giving an overall perspective of the current state and future trends in the field. Medical image processing, monitoring and control of anaesthesia, ECG and EEG signal processing are some of the application topics the book addresses. Emerging methodologies like fuzzy temporal representation of knowledge or rule acquisition extracted from medical data are also described. Undoubtedly those new frameworks will extend the use of fuzzy logic into different fields in medicine in the near future.
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| 650 |
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|a Health informatics.
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| 650 |
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|a Artificial intelligence.
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| 650 |
1 |
4 |
|a Health Informatics.
|0 http://scigraph.springernature.com/things/product-market-codes/H28009
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| 650 |
2 |
4 |
|a Artificial Intelligence.
|0 http://scigraph.springernature.com/things/product-market-codes/I21000
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| 700 |
1 |
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|a Barro, Senen.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 700 |
1 |
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|a Marin, Roque.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
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8 |
|i Printed edition:
|z 9783790824988
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783790814293
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783662003374
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| 830 |
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|a Studies in Fuzziness and Soft Computing,
|x 1434-9922 ;
|v 83
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-7908-1804-8
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-ENG
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| 912 |
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|a ZDB-2-BAE
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| 950 |
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|a Engineering (Springer-11647)
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