Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Mohammed M Eissa"'
Autor:
Nawaf M Alharbi, Saleh M Alharbi, Mohammed A Sulaimani, Ahmad A Alzhrani, Hani D Almaghthwi, Mohammed M Eissa, Ahmed M Badawi, Marie A Allihayni, Asaad S Almokhildi, Sameer M Albishri, Asim S Almoanna, Rakan B Aljuaid, Muhamad A Almazmumi, Suhail F Abutalib, Majdi S Almuanni, Asmah A Miswak, Amin O Alhendi, Zaid A Almalki, Fayes A Alshehri, Abdulrahman A Althubyani, Hatem M Fagieh, Raeed M Rommani, Duaa A Alharbi, Salem N Alharbi, Samaher S Shaqra, Mohana A Alsolimy, Saeed N Alghamdi, Mohammed S Alghamdi, Saleh H Alzahrani, Faisal S Alharbi, Ahmed A Alsulami, Nawaf K Alotaibi, Talal M Alsarawani, Ramzi S Aldaadi, Abdualkriem A Malaka, Talat S Ghandurah, Dakheel S Almalki, Saleh J Almalki, Ashwaq M Alnazawi, Nawaf S Alharbi, Ghazi S Ashoor, Embark A Alsharef
Publikováno v:
International Journal of Applied Research. 8:193-196
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4eb6d339dc2352fdfdeacceff57554da
https://doi.org/10.22271/allresearch.2022.v8.i10c.10219
https://doi.org/10.22271/allresearch.2022.v8.i10c.10219
Publikováno v:
Egyptian Informatics Journal, Vol 17, Iss 3, Pp 265-272 (2016)
Medical domain has become one of the most important areas of research in order to richness huge amounts of medical information about the symptoms of diseases and how to distinguish between them to diagnose it correctly. Knowledge discovery models pla
Externí odkaz:
https://doaj.org/article/1363a9592ee0460bab8ada241061c82e
Publikováno v:
Digital Transformation Technology ISBN: 9789811622748
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0bffe92cb58bd10e7974db0d10ac2a4
https://doi.org/10.1007/978-981-16-2275-5_29
https://doi.org/10.1007/978-981-16-2275-5_29
Publikováno v:
2014 9th International Conference on Informatics and Systems.
Hepatitis C virus is a massive health issue affecting significant portions of the world's population. Applying data preprocessing, feature reduction techniques, and generating rules based on the selected features for classification tasks are consider
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28e9aa7ab5bb767f97ec84e6aac99f4e
https://doi.org/10.1109/infos.2014.7036703
https://doi.org/10.1109/infos.2014.7036703
Publikováno v:
2014 International Conference on Engineering and Technology (ICET).
Hepatitis C virus is a massive health issue affecting significant portions of the world's population. Applying data pre-processing, feature reduction techniques and generating rules based on the selected features for classification tasks are consider
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a7b85f2c16364e2042cc761cc6e33b5
https://doi.org/10.1109/icengtechnol.2014.7016784
https://doi.org/10.1109/icengtechnol.2014.7016784
Publikováno v:
ICCTA
Hepatitis C virus is a massive health issue affecting significant portions of the world’s population. Applying data pre-processing, feature reduction techniques and generating rules based on the selected features for classification tasks are consid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::193fde399c69157bf181dc517c22efbb
https://doi.org/10.1109/iccta32607.2013.9529777
https://doi.org/10.1109/iccta32607.2013.9529777
Autor:
Mohammed M. Eissa
Publikováno v:
Procedia - Social and Behavioral Sciences. :70-91
The aim of this study is to investigate ideological structures of polarized discourse coded in the reports of two online news websites: egyptindependent and Ikhwanweb. The study focuses on online news reports relating to three interrelated events: th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0de573a26612db81536184314ae4f22c
Publikováno v:
Egyptian Informatics Journal. (3):265-272
Medical domain has become one of the most important areas of research in order to richness huge amounts of medical information about the symptoms of diseases and how to distinguish between them to diagnose it correctly. Knowledge discovery models pla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf2d32685f0cac7ec7217e4c304e96f1
Autor:
El Menshawy N; 1Clinical Pathology Department, Hematology Unit, Mansoura Medical School, Mansoura University, Mansoura, Egypt., Eissa M; 2Clinical Pathology Department, Faculty of Medicine, Zagazig University and King Khalid University, Zagazig, Egypt., Abdeen HM; 3Biochemistry Department, Mansoura Medical School, Mansoura University, Mansoura, Egypt., Elkhamisy EM; 4Internal Medicine Department, Specialized Medicine Hospital, Mansoura Medical School, Mansoura University, Mansoura, Egypt., Joseph N; 5Community Medicine Department, Mansoura Medical School, Mansoura University, Mansoura, Egypt.
Publikováno v:
Comparative clinical pathology [Comp Clin Path] 2018; Vol. 27 (3), pp. 721-727. Date of Electronic Publication: 2018 Mar 03.
Autor:
El-Menshawy N; Clinical Pathology Department, Hematology Unit, Mansoura Medical School, Mansoura University, Egypt., Eissa M; Faculty of Medicine, Clinical Pathology Department, Zagazig University, Egypt.; College of Medicine, Pathology Department, King Khaled University, Abha, KSA., Farag R; Tropical Medical Department, Mansoura Medical School, Mansoura University, Egypt., Aboalyazed A; Community Medicine Department, Mansoura Medical School, Mansoura University, Egypt.
Publikováno v:
Journal of clinical laboratory analysis [J Clin Lab Anal] 2016 May; Vol. 30 (3), pp. 235-43. Date of Electronic Publication: 2015 Feb 25.