عنوان المقالة:نظرة عامة على النظرية النيوترسوفيكية في الطب والرعاية الصحية An Overview of Neutrosophic Theory in Medicine and Healthcare

أ.د. أحمد سلامة | Prof. Dr. Ahmed Salama | 10487

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نوع النشر

مقال علمي

المؤلفون بالعربي

أحمد سلامة و أخرون

المؤلفون بالإنجليزي

Essa, Ahmed K.; Sabbagh, Ramiz ; Salama A.A.; Khalid, Huda E.; Aziz, Abdul-Aziz A.; Mohammed, Ahmed A

الملخص الانجليزي

Neutrosophic ranking studies are an important part of medicine that determines the ranks of tests, risk factors, attributes, and medical suppliers. Neutrosophic clustering in healthcare can split data into groups (called clusters) to determine usage patterns for purposes, in which objects within the same cluster have similar properties and objects of different clusters have different properties. Like neutrosophic clustering, neutrosophic classification studies are also a data mining technique. Neutrosophic pattern recognition is a machine learning process to decipher the underlying patterns in the concerned subjects. Neutrosophic time series analysis tries to find patterns and rules depending on time, neutrosophic recognition of medical images belongs to this type of study. This article comes as an attempt to review and shed light on almost all studies and subjects that used neutrosophic studies and algorithms related to medicine and healthcare for dozens of articles and authors. © (2023), (University of New Mexico). All Rights Reserved.

تاريخ النشر

12/12/2023

الناشر

Neutrosophic Sets and Systems

رقم المجلد

61

رقم العدد

ISSN/ISBN

2331-6055

رابط DOI

10.5281/zenodo.10428616

الصفحات

196 - 208

رابط خارجي

https://www.scopus.com/record/display.uri?eid=2-s2.0-85183470711&origin=resultslist

الكلمات المفتاحية

healthcare; medical diagnosis; Neutrosophic logic; neutrosophic sets; neutrosophic soft sets and lung disease diagnosis