title: Data mining and medical world: breast cancers' diagnosis, treatment, prognosis and challenges.
abstract: The amount of data in electronic and real world is constantly on the rise. Therefore, extracting useful knowledge from the total available data is very important and time consuming task. Data mining has various techniques for extracting valuable information or knowledge from data. These techniques are applicable for all data that are collected inall fields of science. Several research investigations are published about applications of data mining in various fields of sciences such as defense, banking, insurances, education, telecommunications, medicine and etc. This investigation attempts to provide a comprehensive survey about applications of data mining techniques in breast cancer diagnosis, treatment & prognosis till now. Further, the main challenges in these area is presented in this investigation. Since several research studies currently are going on in this issues, therefore, it is necessary to have a complete survey about all researches which are completed up to now, along with the results of those studies and important challenges which are currently exist in this area for helping young researchers and presenting to them the main problems that are still exist in this area.
authors.affiliation: Department of Computer Science and Information Technology, Mahdishahr Branch, Islamic Azad University Mahdishahr, Iran.
authors.forename: Rozita Jamili
authors.initials: RJ
authors.lastname: Oskouei
authors.affiliation: Research Center of Physiology, Faculty of Medicine, Semnan University of Medical SciencesSemnan, Iran; Student Research Committee, Faculty of Medicine, Semnan University of Medical SciencesSemnan, Iran.
authors.forename: Nasroallah Moradi
authors.initials: NM
authors.lastname: Kor
authors.affiliation: Department of Pharmacology & Toxicology, Urmia Branch, Islamic Azad University Urmia, Iran.
authors.forename: Saeid Abbasi
authors.initials: SA
authors.lastname: Maleki
keywords: Data mining; cancer diagnosis; cancer prognosis; cancer treatment; medical data; risk factors