Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Theera Piroonratana"'
Autor:
Chanvit Taratep, Pichitpong Soontornpipit, Pratana Satitvipawee, Theera Piroonratana, Watcharawan Teerawat
Publikováno v:
Procedia Computer Science. 86:252-256
The research aims to explore the existing hospital information system (HIS) and their resources in the 8 th health region according to the roadmap for the National Health Information Center (NHIC) from Ministry of Public Health (MOPH). In order to de
Autor:
Chanin Limwongse, Theera Piroonratana, Waranyu Wongseree, Chompunut Kanjanakorn, Damrongrit Setsirichok, Monchan Sirikong, Nuttawut Paulkhaolarn, Nachol Chaiyaratana, Touchpong Usavanarong
Publikováno v:
Biomedical Signal Processing and Control. 7:202-212
This article presents the classification of blood characteristics by a C4.5 decision tree, a naive Bayes classifier and a multilayer perceptron for thalassaemia screening. The aim is to classify eighteen classes of thalassaemia abnormality, which hav
Autor:
Wanna Thongnoppakhun, Nachol Chaiyaratana, Monchan Sirikong, Chanin Limwongse, Anunchai Assawamakin, Theera Piroonratana, Waranyu Wongseree, Chompunut Kanjanakorn, Nuttawut Paulkhaolarn
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 99:101-110
This article presents an application of a neural network and decision trees in thalassaemia screening. The aim is to classify thirteen classes of thalassaemia abnormality and one control class by inspecting the distribution of multiple types of haemo
Publikováno v:
Journal of Heuristics. 13:1-34
This paper covers an investigation on the effects of diversity control in the search performances of single-objective and multi-objective genetic algorithms. The diversity control is achieved by means of eliminating duplicated individuals in the popu
Autor:
Chanin Limwongse, Nachol Chaiyaratana, Waranyu Wongseree, Anunchai Assawamakin, Chatchawit Aporntewan, Theera Piroonratana, Damrongrit Setsirichok, Touchpong Usavanarong
A protocol for the identification of ancestry informative markers (AIMs) from genome-wide single nucleotide polymorphism (SNP) data is proposed. The protocol consists of three main steps: (a) identification of potential positive selection regions via
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ead6d37e34a8944a207a4369dabd83a6
http://arxiv.org/abs/1305.3754
http://arxiv.org/abs/1305.3754
Autor:
Touchpong Usavanarong, Nachol Chaiyaratana, Chanin Limwongse, Anunchai Assawamakin, Waranyu Wongseree, Theera Piroonratana
Publikováno v:
ICPR
Ancestry informative markers (AIMs) have been proven to contain necessary information for population classification. In this article, round robin symmetrical uncertainty ranking for preliminary AIM screening is proposed. Each single nucleotide polymo
Autor:
Saravudh Sinsomros, Waranyu Wongseree, Nachol Chaiyaratana, Theera Piroonratana, Chanin Limwongse, Anunchai Assawamakin
Publikováno v:
Neural Information Processing ISBN: 9783642106828
ICONIP (2)
ICONIP (2)
Purely epistatic multi-locus interactions cannot generally be detected via single-locus analysis in case-control studies of complex diseases. Recently, many two-locus and multi-locus analysis techniques have been shown to be promising for the epistas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f0f4655e602d52ed38f6958a751f7dc
https://doi.org/10.1007/978-3-642-10684-2_55
https://doi.org/10.1007/978-3-642-10684-2_55
Publikováno v:
Computer Science – Theory and Applications ISBN: 9783540341666
CSR
CSR
This paper presents an improved multi-objective diversity control oriented genetic algorithm (MODCGA-II). The performance comparison between the MODCGA-II, a non-dominated sorting genetic algorithm II (NSGA-II) and an improved strength Pareto evoluti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d15722ccc83a52e5a55e25f627491922
https://doi.org/10.1007/11753728_45
https://doi.org/10.1007/11753728_45
Publikováno v:
Artificial Intelligence and Soft Computing – ICAISC 2006 ISBN: 9783540357483
ICAISC
ICAISC
This paper presents an improved multi-objective diversity control oriented genetic algorithm (MODCGA-II). The improvement includes the introduction of an objective-domain diversity control operator, which is chromosome representation independent, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98399cc97846d4cc29dd55f6824c6bb0
https://doi.org/10.1007/11785231_46
https://doi.org/10.1007/11785231_46
Publikováno v:
Journal of Heuristics; Feb2007, Vol. 13 Issue 1, p1-34, 34p