Predicting severity of acute appendicitis with machine learning methods: a simple and promising approach for clinicians.

Autor: Yazici H; General Surgery Department, Marmara University Pendik Research and Training Hospital, Istanbul, Turkey. hilmiyazici@hotmail.com., Ugurlu O; Faculty of Engineering and Architecture, Izmir Bakircay University, Izmir, Turkey., Aygul Y; Department of Mathematics, Ege University, Izmir, Turkey., Ugur MA; General Surgery Department, University of Health Sciences Izmir Bozyaka Research and Training Hospital, Izmir, Turkey., Sen YK; General Surgery Department, University of Health Sciences Izmir Bozyaka Research and Training Hospital, Izmir, Turkey., Yildirim M; General Surgery Department, University of Health Sciences Izmir Bozyaka Research and Training Hospital, Izmir, Turkey.

Publikováno v: BMC emergency medicine [BMC Emerg Med] 2024 Jun 18; Vol. 24 (1), pp. 101. Date of Electronic Publication: 2024 Jun 18.

THE QUESTION OF KAZAKH NATIONAL AND GEOGRAPHICAL TOPONYMIC AS A POTENTIAL FACTOR OF TOURISM DEVELOPMENT

Autor: Saparov, Kuat T., Yeginbayeva, Aygul Y., Gulshat Zh. Nurgalieva, Kulzhanova, Saltanat M., Emin Atasoy, Jan Wendt

Publikováno v: Geo Journal of Tourism and Geosites, Vol 19, Iss 1, Pp 115-125 (2017)
Knowledge Base of the University of Gdańsk

The article discusses the role of specific examples of the Kazakh national geographical names of the different regions of Kazakhstan, based on the toponymic methods of scientific research. Geographical names may constitute the attractiveness of the t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a17061708c013d21aabc0f4fe674a1d3
http://gtg.webhost.uoradea.ro/PDF/GTG-1-2017/234_Wendt.pdf

Appendicitis Diagnosis: Ensemble Machine Learning and Explainable Artificial Intelligence-Based Comprehensive Approach.

Autor: Gollapalli, Mohammed, Rahman, Atta, Kudos, Sheriff A., Foula, Mohammed S., Alkhalifa, Abdullah Mahmoud, Albisher, Hassan Mohammed, Al-Hariri, Mohammed Taha, Mohammad, Nazeeruddin

Publikováno v: Big Data & Cognitive Computing; Sep2024, Vol. 8 Issue 9, p108, 24p

The effect of well-known burn-related features on machine learning algorithms in burn patients' mortality prediction.

Autor: Yazıcı, Hilmi, Uğurlu, Onur, Aygül, Yeşim, Yıldırım, Mehmet, Uçar, Ahmet Deniz

Publikováno v: Turkish Journal of Trauma & Emergency Surgery / Ulusal Travma ve Acil Cerrahi Dergisi; Oct2023, Vol. 29 Issue 10, p1130-1137, 8p