A Machine Learning Approach to Predict Creatine Kinase Test Results

Autor: Zehra Nur Canbolat, Gökhan Silahtaroğlu, Özge Doğuç, Nevin Yılmaztürk

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

Decision Support System for Natural Disaster Response Process with Twitter Data

Autor: Ozge DOGUC

Publikováno v: Afet ve Risk Dergisi.

In the natural disaster response process, the use of limited resources in place and on time is very important in limiting the loss of life and property. During a disaster, individuals and institutions share live information on social media. Fast and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::529ea01945d27e061e3e1951f06f2a39
https://doi.org/10.35341/afet.1144350

BELGE TABANLI BANKACILIK SÜREÇLERİ İÇİN AKILLI SİSTEM TASARIMI

Autor: Ozge DOGUC

Publikováno v: Volume: 25, Issue: 4 760-773
Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi
Kahramanmaras Sutcu Imam University Journal of Engineering Sciences

Business process automation has been helping companies by eliminating mundane and repetitive tasks. Automation tools have been used in many sectors, providing high full-time employee (FTE) savings and low error rates to the companies. Banks have been

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9fc05cb8bc878040ecc12a9e3dee49e
https://dergipark.org.tr/tr/pub/ksujes/issue/73671/1166624

Contributors

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

APPLICATIONS OF ROBOTIC PROCESS AUTOMATION IN FINANCE AND ACCOUNTING

Autor: Ozge Doguc

Publikováno v: Volume: 14, Issue: 1 51-59
Beykent Üniversitesi Fen ve Mühendislik Bilimleri Dergisi

Processes that contain repetitive and well-defined steps are more suitable for robotic process automation (RPA) than others. Many financial processes such as quarterly reports and balance sheet preparation fall into this category. Also, these process

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b6434f4c322d16eb77a69d59f8c43d6
https://dergipark.org.tr/tr/pub/bujse/issue/65185/906795