Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Zehra Nur Canbolat"'
Autor:
Özge Doğuç, Gökhan Silahtaroğlu, Zehra Nur Canbolat, Kailash Hambarde, Ahmet Alperen Yiğitbaşı, Hasan Gökay, Mesut Yılmaz
Publikováno v:
Emerging Science Journal, Vol 7, Iss 0, Pp 105-113 (2023)
Using machine learning algorithms for the rapid diagnosis and detection of the COVID-19 pandemic and isolating the patients from crowded environments are very important to controlling the epidemic. This study aims to develop a point-of-care testing (
Externí odkaz:
https://doaj.org/article/44c95c6178024cec9dd94c6fd3cba9cb
Publikováno v:
Emerging Science Journal, Vol 4, Iss 4, Pp 283-296 (2020)
Most of the research done in the literature are based on statistical approaches and used for deriving reference limits based on lab results. As more data are available to the researchers, ML methods are more effectively used by the clinicians and pra
Externí odkaz:
https://doaj.org/article/7c9c0d5bbbde4694965b6f12cf94233a
Publikováno v:
Volume: 2, Issue: 3 280-304
Ekonomi İşletme ve Maliye Araştırmaları Dergisi
Ekonomi İşletme ve Maliye Araştırmaları Dergisi
COVID-19 is a highly infectious and detrimental illness and is accepted as one of the most pervasive health crises of the last decades. The pandemic maintains its full effect and has continued longer than initially expected. The pandemic has affected
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a680dff94b34050b5bd6125df92f83e8
https://doi.org/10.38009/ekimad.825285
https://doi.org/10.38009/ekimad.825285
Autor:
S. Abirami, Nur Hidayah Ilham Ahmad Azri, Faiza Ahmed, Md Habib Al Mamun, Anika Anjum, Katpadi Varadarajan Arulalan, Md. Ashrafuzzaman, Paul Barach, Gopi Battineni, Ebru Aydindag Bayrak, Nishi Bhati, Nurul Husna Binti Rosli, Saurabh Biswas, Carlo Biz, Nicola Luigi Bragazzi, Zehra Nur Canbolat, Pritha Chakraborty, Nabarun Chandra Das, Rishi Chauhan, G. Deepalakshmi, Kushan De Silva, Shankar Dey, Ozge Doguc, Joanne Enticott, Shubham Garg, K. Gokul, Radhika Goyal, Cameron Graydon, Pratiyush Guleria, Yasha Hasija, Norbik Bashah Idris, Sherrylin Anak John, Suna Kang, Mustafa Asim Kazancigil, Pantea Keikhosrokiani, Farzana Khanam, Pinar Kirci, Piyush Kumar, Donghyun Lee, Zhihan Lv, Kevin Sheng-Kai Ma, Shuchi Mala, G. Manikandan, Md. Mahmudul Haque Milu, Dimitrios V. Moysidis, Najhan Muhamad Ibrahim, Suprabhat Mukherjee, Ajaypradeep Natarajsivam, Andreas S. Papazoglou, Ritwik Patra, António Pesqueira, Md. Asadur Rahman, Omanin Siddiqua Prova, Liang Qiao, Rehab A. Rayan, R. Sasikala, Parth Sarthi Sen Gupta, Gokhan Silahtaroglu, Maria José Sousa, Clair Sullivan, Jafrin Sultana, Helena Teede, Christos Tsagkaris, Liew Set Yee, Imran Zafar
Publikováno v:
Big Data Analytics for Healthcare ISBN: 9780323919074
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cee4dafccfdfa3077fb98d0c4e0ce6c
https://doi.org/10.1016/b978-0-323-91907-4.01002-5
https://doi.org/10.1016/b978-0-323-91907-4.01002-5
Publikováno v:
Big Data Analytics for Healthcare ISBN: 9780323919074
Big data has been used in the health sector to improve the quality of life, predict epidemics, cure diseases, and avoid preventable deaths, beyond increasing profits or reducing the burden of excess labor. Data sources in healthcare have become quite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d34d5ec923bf5c6fb3ccc475c224d92b
https://hdl.handle.net/20.500.12511/9741
https://hdl.handle.net/20.500.12511/9741
Autor:
Fatih Pınarbaşı, Zehra Nur Canbolat
Publikováno v:
International Journal of Business Ecosystem & Strategy (2687-2293). 1:15-24
The concept of big data is one of the important issues in business decision making in recent years. The expansion of social media platforms, the increase in data production devices and the evaluation and interpretation of the data produced by develop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c667776ab0c12c2c6c7388b779df2123
https://doi.org/10.36096/ijbes.v1i2.107
https://doi.org/10.36096/ijbes.v1i2.107
The aim of this study is to evaluate the customer satisfaction for mobile applications in the Turkish banking industry. For this purpose, the last 500 customer comments of 24 different Turkish deposit banks' mobile applications are analyzed with data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e80e74d99a7639df52678a8331ef8871
https://doi.org/10.4018/978-1-7998-0035-4.ch015
https://doi.org/10.4018/978-1-7998-0035-4.ch015
Autor:
Zehra Nur Canbolat, Fatih Pinarbasi
Electronic word of mouth is one of the keys elements for marketing decision making. e-WOM has been focus of marketing research as technology and social media become larger part of consumers' lives. This study set out to examine e-wom concept with sen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31b3fca42af212227816baf3a7aaa2ce
https://doi.org/10.4018/978-1-5225-8575-6.ch007
https://doi.org/10.4018/978-1-5225-8575-6.ch007
Publikováno v:
Volume: 6, Issue: 1 32-40
Mugla Journal of Science and Technology
Mugla Journal of Science and Technology
Sepsis infection, which is one of the most important causes of death in intensive care units, is seen as a severe global health crisis. If an early diagnosis of sepsis infection cannot be made, and treatment is not started rapidly, septic shock may r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fae449c103ef0005b9ebe9fe974d9857
https://dergipark.org.tr/tr/pub/muglajsci/issue/52562/643554
https://dergipark.org.tr/tr/pub/muglajsci/issue/52562/643554