Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Omar Behadada"'
Publikováno v:
International Journal of Distributed Systems and Technologies. 8:17-33
Cardiovascular diseases are the leading causes on mortality in the world. Consequently, tools and methods providing useful and applicable insights into their assessment play a crucial role in the prediction and managements of specific heart condition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8454a24d461af629604a994e0cafa75
https://doi.org/10.4018/ijdst.2017100102
https://doi.org/10.4018/ijdst.2017100102
Publikováno v:
Concurrency and Computation: Practice and Experience. 28:360-373
In this paper, we introduce a novel method to define semi-automatically fuzzy partition rules to provide a powerful and accurate insight into cardiac arrhythmia. In particular, we define a text mining approach applied to a large dataset consisting of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17314868e9e91f2646b366860498e06d
https://doi.org/10.1002/cpe.3428
https://doi.org/10.1002/cpe.3428
Publikováno v:
Diabetesmetabolic syndrome. 12(2)
Aim Hypercholesterolemia and hyper LDL-C are associated with the atherosclerosis (AS). The current study was performed to evaluate the implication of the others lipoproteins (HDL, LDL, VLDL) and apolipoproteins (ApoA1, ApoB100) with subclinical ather
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fdf4ba749f18197049ce5d5eda078db
https://pubmed.ncbi.nlm.nih.gov/29338972
https://pubmed.ncbi.nlm.nih.gov/29338972
Publikováno v:
Green, Pervasive, and Cloud Computing ISBN: 9783319571850
GPC
GPC
In this paper, we investigate the automatic diagnosis of patients with metabolic syndrome, i.e., a common metabolic disorder and a risk factor for the development of cardiovascular diseases and type 2 diabetes. Specifically, we employ the k-Nearest n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1926bf26390fd270fcebe3dc51d08771
https://doi.org/10.1007/978-3-319-57186-7_45
https://doi.org/10.1007/978-3-319-57186-7_45
Publikováno v:
FAS*W@SASO/ICCAC
In this paper, we introduce a method based on logistics Regression multi-class as a classifier to provide a powerful and accurate insight into cardiac arrhythmia. As suggested by our evaluation, this provide a robust, scalable, and accurate system, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e28f7053a707dfeaed70c4aa14ae658d
https://doi.org/10.1109/fas-w.2016.39
https://doi.org/10.1109/fas-w.2016.39
Autor:
M. A. Chikh, Omar Behadada
Publikováno v:
Journal of Mechanics in Medicine and Biology. 10:327-339
This article describes a fuzzy classifier for the identification of premature ventricular complexes (PVCs) in surface electrocardiograms (ECGs). The classifier uses features extracted from the ECG beat, such as the width of QRS complex and RR interva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9414f8ffb4341f503f4bb20a69ca3a2f
https://doi.org/10.1142/s021951941000337x
https://doi.org/10.1142/s021951941000337x
Autor:
Omar Behadada
Publikováno v:
INCoS
In this paper, we discuss a method to define semi-automatically fuzzy partition rules to provide a powerful and accurate insight into cardiac arrhythmia. As suggested by our evaluation, this provide a robust, scalable, and accurate system, which can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49bc5223b89c4094690c823c868aa845
https://doi.org/10.1109/incos.2015.50
https://doi.org/10.1109/incos.2015.50
Autor:
Omar Behadada
Publikováno v:
Big-Data Analytics and Cloud Computing ISBN: 9783319253114
Big-Data Analytics and Cloud Computing
Big-Data Analytics and Cloud Computing
In this chapter, we will discuss a case study, which semi-automatically defines fuzzy partition rules to provide a powerful and accurate insight into cardiac arrhythmia. In particular, this is based on large unstructured data sets in the form of scie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bf0fd2d8513f04ec0d8bf5da6cc85c0
https://doi.org/10.1007/978-3-319-25313-8_9
https://doi.org/10.1007/978-3-319-25313-8_9
Autor:
Mohammed Amine Chikh, Omar Behadada
Publikováno v:
Artificial Intelligence Research. 2
An extraction of medical knowledge from cardiological data is proposed in this work, it is based on relevant intelligent method called fuzzy decision tree. It could lead to increase understanding the cause of various abnormal beats in cardiac activit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f95d15d521612362b939e9fe75a951c
https://doi.org/10.5430/air.v2n3p45
https://doi.org/10.5430/air.v2n3p45