Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Raid Lafta"'
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bee368a5cb790f6a9784cc57e7de176
https://doi.org/10.1109/bigdata55660.2022.10020818
https://doi.org/10.1109/bigdata55660.2022.10020818
Publikováno v:
IEEE Access, Vol 5, Pp 10674-10685 (2017)
Recently, the use of intelligent technologies in clinical decision making in the telehealth environment has begun to play a vital role in improving the quality of patients' lives and helping reduce the costs and workload involved in their daily healt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88ff0492bdcd1a47e44852d8b349ace5
https://doi.org/10.1109/access.2017.2706318
https://doi.org/10.1109/access.2017.2706318
Publikováno v:
Web Intelligence. 14:325-336
The use of intelligent technologies for providing useful recommendations to patients suffering chronic diseases may play a positive role in improving the general life quality of patients and help reduce the workload and cost involved in their daily h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41b50c5c3fb37349101edaf7ae02adad
https://doi.org/10.3233/web-160348
https://doi.org/10.3233/web-160348
Publikováno v:
Studies in Big Data ISBN: 9789811084751
The use of intelligent and sophistic technologies in evidence-based clinical decision making support have been playing an important role in improving the quality of patients’ life and helping to reduce cost and workload involved in their daily heal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f43711cfd1a0c18639bc96029edf2077
https://doi.org/10.1007/978-981-10-8476-8_18
https://doi.org/10.1007/978-981-10-8476-8_18
Autor:
Xiaoyao Zheng, Jerry Chun-Wei Lin, Raid Lafta, Fulong Chen, Yonglong Luo, Ji Zhang, Xiaohui Tao
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319988115
DEXA (2)
DEXA (2)
Intelligent technologies are enjoying growing popularity in a telehealth environment for helping improve the quality of chronic patients’ lives and provide better clinical decision-making to reduce the costs and workload involved in their daily hea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebeea1684a2163d682418143cc7154c7
https://doi.org/10.1007/978-3-319-98812-2_15
https://doi.org/10.1007/978-3-319-98812-2_15
Autor:
Raid Lafta, Wessam Abbas, Ji Zhang, Fulong Chen, Vincent S. Tseng, Yan Li, Xiaohui Tao, Yonglong Luo
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783319574530
PAKDD (1)
PAKDD (1)
The use of intelligent technologies in clinical decision making have started playing a vital role in improving the quality of patients’ life and helping in reduce cost and workload involved in their daily healthcare. In this paper, a novel fast Fou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3e3e0120300594f7619d7ea09d37a7d
https://doi.org/10.1007/978-3-319-57454-7_51
https://doi.org/10.1007/978-3-319-57454-7_51
Publikováno v:
Advanced Data Mining and Applications ISBN: 9783319495859
ADMA
ADMA
In recent years, leaf image recognition and classification has become one of the most important subjects in computer vision. Many approaches have been proposed to recognise and classify leaf images relying on features extraction and selection algorit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa77a04706623d95e543664fd8077d22
https://doi.org/10.1007/978-3-319-49586-6_15
https://doi.org/10.1007/978-3-319-49586-6_15
Publikováno v:
Advanced Data Mining and Applications ISBN: 9783319495859
ADMA
ADMA
The use of intelligent technologies in clinical decision making support may play a promising role in improving the quality of heart disease patients’ life and helping to reduce cost and workload involved in their daily health care in a tele-health
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1dc784eb0fe91861c6ac4c1709732d4b
https://doi.org/10.1007/978-3-319-49586-6_58
https://doi.org/10.1007/978-3-319-49586-6_58
Publikováno v:
WI-IAT (3)
In this paper, an intelligent recommender system is developed, which uses an innovative time series prediction algorithm to provide recommendations to heart disease patients in the tele-health environment. Based on analytics of each patient's medical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b057011293879960f01a253df416fdc
https://doi.org/10.1109/wi-iat.2015.47
https://doi.org/10.1109/wi-iat.2015.47