Mohsen Ghorbian
Department of Computer Engineering, Qom Branch, Islamic Azad University, Qom, IranPublications
-
Research Article
Investigating the impact of key tumor markers to predict and reduction of lymphoma cancer diagnosis duration with a data mining approach
Author(s): Mohsen Ghorbian*
Various data mining techniques are available today, resulting in different results with varying precisions; therefore, selecting the appropriate methodology can result in a more complete and accurate data analysis. Hence, there are several ways to evaluate the effectiveness of data mining techniques. Choosing the appropriate data mining techniques depends on the type of data on which they will be implemented. When it comes to using data, data in every field has its significance. However, data plays a more significant aspect in specific fields, such as healthcare and data collection for caners. Using data mining techniques to analyse sensitive data like cancers can be challenging if the available information is incomplete, which can significantly impact the results. When working with the information of people with lymphoma cancer, the frequency of factors causing the disease and the la.. Read More»
Editors List
-
Ahmed Hussien Alshewered
University of Basrah College of Medicine, Iraq
-
Sudhakar Tummala
Department of Electronics and Communication Engineering SRM University – AP, Andhra Pradesh
-
Alphonse Laya
Supervisor of Biochemistry Lab and PhD. students of Faculty of Science, Department of Chemistry and Department of Chemis
-
Fava Maria Giovanna
- Manuprasad Avaronnan
Google Scholar citation report
Citations : 558
Onkologia i Radioterapia received 558 citations as per Google Scholar report
Onkologia i Radioterapia peer review process verified at publons
Indexed In
- Directory of Open Access Journals
- Scimago
- SCOPUS
- EBSCO A-Z
- MIAR
- Euro Pub
- Google Scholar
- Medical Project Poland
- PUBMED
- Cancer Index
- Gdansk University of Technology, Ministry Points 20