The Sequential Associative Rules Analysis of Patient's Physical Characteristics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F18%3A00001415" target="_blank" >RIV/75081431:_____/18:00001415 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
The Sequential Associative Rules Analysis of Patient's Physical Characteristics
Original language description
The sequential associative rules method creating are described. The difference between classical associative rules and sequential associative rules is given. The patient medical data is analyzed. The main associative rules characteristics are given. For modified AprioriTID method unique identifier for the patient set of patient analyzes has been entered. Additional numerical attributes of the investigated objects are indicated. The distinction between associative rules and sequential analysis is given. The analysis of the results of well-known methods and developed method is given.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20602 - Medical laboratory technology (including laboratory samples analysis; diagnostic technologies) (Biomaterials to be 2.9 [physical characteristics of living material as related to medical implants, devices, sensors])
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 1st International Workshop on Informatics & Data-Driven Medicine (IDDM 2018)
ISBN
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ISSN
1613-0073
e-ISSN
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Number of pages
11
Pages from-to
82-92
Publisher name
Ľvovská polytechnická národná univerzita, Ukrajina
Place of publication
Lvov
Event location
Lvov
Event date
Nov 28, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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