Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Elpida T. Keravnou"'
Publikováno v:
Signal Processing and Machine Learning for Biomedical Big Data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bba79da98d3f463af9870120143b695
https://doi.org/10.1201/9781351061223-25
https://doi.org/10.1201/9781351061223-25
Autor:
Riccardo Bellazzi, Athena Stassopoulou, Arianna Dagliati, Kalia Orphanou, Elpida T. Keravnou, Lucia Sacchi
Publikováno v:
Orphanou, K, Dagliati, A, Sacchi, L, Stassopoulou, A, Keravnou, E & Bellazzi, R 2018, ' Incorporating Repeating Temporal Association Rules in Naïve Bayes Classifiers for Coronary Heart Disease Diagnosis ', Journal of Biomedical Informatics . https://doi.org/10.1016/j.jbi.2018.03.002
In this paper, we develop a Naive Bayes classification model integrated with temporal association rules (TARs). A temporal pattern mining algorithm is used to detect TARs by identifying the most frequent temporal relationships among the derived basic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ff4fb459f815321818552b777dfe00c
https://www.research.manchester.ac.uk/portal/en/publications/incorporating-repeating-temporal-association-rules-in-naive-bayes-classifiers-for-coronary-heart-disease-diagnosis(7735c736-a67d-4fa0-9c08-25630fc5b78c).html
https://www.research.manchester.ac.uk/portal/en/publications/incorporating-repeating-temporal-association-rules-in-naive-bayes-classifiers-for-coronary-heart-disease-diagnosis(7735c736-a67d-4fa0-9c08-25630fc5b78c).html
Autor:
John Washbrook, Elpida T. Keravnou
Publikováno v:
Computational Intelligence. 17:87-131
Diagnostic problem solving aims to account for, or explain, a malfunction of a system (human or other). Any plausible potential diagnostic solution must satisfy some minimum criteria relevant to the application. Often there will be several plausible
Publikováno v:
The Economics of Water Management in Developing Countries ISBN: 9781781950517
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::670da12833fcc2422a475a125be28c4a
https://doi.org/10.4337/9781781950517.00020
https://doi.org/10.4337/9781781950517.00020
During the last two decades the scarcity of water resources is exponentially growing worldwide. Cyprus is one of the countries in the Mediterranean where the water shortage problem is evident and very severe. This paper describes an intelligent and f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab6a4e8c3376fc491bb010fd41831d38
https://hdl.handle.net/20.500.14279/1750
https://hdl.handle.net/20.500.14279/1750
Autor:
Elpida T. Keravnou
Publikováno v:
TIME
Starting from the premise that time representation and temporal reasoning must constitute integral aspects of a competent, knowledge-based, medical system, the paper presents the relevant requirements and discusses their realisation in terms of a gen
Autor:
Elpida T. Keravnou
Publikováno v:
The Knowledge Engineering Review. 6:127-129
Autor:
Elpida T. Keravnou
Publikováno v:
The Knowledge Engineering Review. 6:133-135
Autor:
Elpida T. Keravnou, John Washbrook
Publikováno v:
Progress in Artificial Intelligence ISBN: 9783540665489
EPIA
EPIA
Diagnostic problem solving aims to explain an observed divergence from the proper functioning of some case, human or other. The paper presents a temporal-abductive framework for diagnostic problem solving focusing on the integration of time. It is ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54bf3cd3f4f1fe5a169df9f062c218e1
https://doi.org/10.1007/3-540-48159-1_22
https://doi.org/10.1007/3-540-48159-1_22
Publikováno v:
Intelligent Data Analysis in Medicine and Pharmacology ISBN: 9781461377757
Extensive amounts of data gathered in medical and pharmacological databases request the development of specialized tools for storing and accessing of data, data analysis, and effective use of stored data. Intelligent data analysis methods provide the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dad25eb4798c3648ca890e3a1347365
https://doi.org/10.1007/978-1-4615-6059-3_1
https://doi.org/10.1007/978-1-4615-6059-3_1