Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Gokhan Silahtaroglu"'
Autor:
Gökhan Silahtaroğlu, Hasan Dinçer, Serhat Yüksel, Abdurrahman Keskin, Nevin Yılmaztürk, Alperen Kılıç
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Identifying and managing the most critical side effects encourages patients to take medications regularly and adhere to the course of treatment. Therefore, priority should be given to the more important ones, among these side effects. Howeve
Externí odkaz:
https://doaj.org/article/8d25e40e669b46f1bbc629c06445c54f
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:
Journal of Theoretical and Applied Electronic Commerce Research, Vol 16, Iss 4, Pp 768-790 (2021)
This study aims to establish actionable guidelines and provide strategic insights as a means of increasing the social media effectiveness of consumer brands. Post-related factors in addition to the contextual and temporal factors influencing consumer
Externí odkaz:
https://doaj.org/article/a78226be8e6543709b1fe84dd386aa10
Autor:
Gokhan Aydin, Gokhan Silahtaroglu
Publikováno v:
PLoS ONE, Vol 16, Iss 1, p e0244302 (2021)
BackgroundDespite the benefits offered by an abundance of health applications promoted on app marketplaces (e.g., Google Play Store), the wide adoption of mobile health and e-health apps is yet to come.ObjectiveThis study aims to investigate the curr
Externí odkaz:
https://doaj.org/article/17523dbf948d4a29adbe498f092bd676
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
Publikováno v:
Nitel Sosyal Bilimler, Vol 4, Iss 2, Pp 102-130 (2022)
Dijitalleşmenin gelişimi, uluslararası işletmecilik alanında Küçük ve Orta Ölçekli İşletmeler (KOBİ) için yeni fırsatlar ortaya çıkarmıştır. KOBİ'lerin dijitalleşmesi, örgütsel öğrenmenin ana aktör olduğu sosyo-teknik bir
Externí odkaz:
https://doaj.org/article/68a04203bbde4496aa54f6bc757ecee4
Autor:
GOKHAN SILAHTAROGLU
Publikováno v:
Scopus-Elsevier
Decision tree algorithms have very important place at classification model of data mining. In literature, algorithms use entropy concept or gini index to form the tree. The shape of the classes and their closeness to each other some of the factors th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e75bbd6ff64f8dea78c5d9fbd8043d5
Autor:
GOKHAN SILAHTAROGLU
Publikováno v:
Scopus-Elsevier
Clustering large populations is an important problem when the data contain noise and different shapes. A good clustering algorithm or approach should be efficient enough to detect clusters sensitively. Besides space complexity, time complexity also g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c55710095923a768f0e8f8d326377e18
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