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@inproceedings{47361,
author = {Shakhovska, Natalyia and Holoshchuk, Roman and Holoshchuk, Solomia and Kosar, Oleh and Danel, Roman and Řepka, Michal},
address = {Lvov},
booktitle = {Proceedings of the 1st International Workshop on Informatics & Data-Driven Medicine (IDDM 2018)},
edition = {2255},
editor = {Ľvovská polytechnická národná univerzita, Ukrajina},
keywords = {sequential associative rules; artificial intelligence; support; confidence; sequential analysis},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Lvov},
pages = {82-92},
publisher = {Ľvovská polytechnická národná univerzita, Ukrajina},
title = {The Sequential Associative Rules Analysis of Patient's Physical Characteristics},
year = {2018}
}
TY - JOUR
ID - 47361
AU - Shakhovska, Natalyia - Holoshchuk, Roman - Holoshchuk, Solomia - Kosar, Oleh - Danel, Roman - Řepka, Michal
PY - 2018
TI - The Sequential Associative Rules Analysis of Patient's Physical Characteristics
PB - Ľvovská polytechnická národná univerzita, Ukrajina
CY - Lvov
KW - sequential associative rules
KW - artificial intelligence
KW - support
KW - confidence
KW - sequential analysis
N2 - 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.
ER -
SHAKHOVSKA, Natalyia, Roman HOLOSHCHUK, Solomia HOLOSHCHUK, Oleh KOSAR, Roman DANEL a Michal ŘEPKA. The Sequential Associative Rules Analysis of Patient's Physical Characteristics. In Ľvovská polytechnická národná univerzita, Ukrajina. \textit{Proceedings of the 1st International Workshop on Informatics \&{} Data-Driven Medicine (IDDM 2018)}. 2255. vyd. Lvov: Ľvovská polytechnická národná univerzita, Ukrajina, 2018. s.~82-92. ISSN~1613-0073.
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