Analyzing the Impact of Machine Learning on Cancer Treatments

Abstract

The survival rate of breast cancer prediction has been a significant issue for researchers. Nowadays, the health care industry has completely transformed by using modern technologies and their applications for medical services. Among those technologies, machine learning is one of them, which has gained attention by people that its new advanced technology would give accurate results by using modeling methods for prediction. As this is a branch of artificial intelligence, it employs various statics, probabilistic and optimistic tools. This is applied to medical services, especially which are based on proteomic and genomic measurements. The aim is to use the dataset of cancer treatment and predict the results of patients by using machine learning with its modeling methods for accurate results. Recently experts have even used this machine learning in cancer for prognosis and forecasting.

Publication DOI: https://doi.org/10.4018/ijdst.304429
Divisions: College of Business and Social Sciences > Aston Business School
College of Business and Social Sciences > Aston Business School > Operations & Information Management
Additional Information: This article protected by copyright. This is an accepted manuscript version of an article published by IGI Global in the International Journal of Distributed Systems and Technologies.
Uncontrolled Keywords: Computer Networks and Communications,Hardware and Architecture
Publication ISSN: 1947-3540
Last Modified: 04 Jul 2024 07:09
Date Deposited: 28 Jul 2022 11:56
Full Text Link:
Related URLs: https://www.igi ... /article/304429 (Publisher URL)
PURE Output Type: Article
Published Date: 2022-01-01
Accepted Date: 2022-01-01
Authors: Chang, Victor (ORCID Profile 0000-0002-8012-5852)
Srilikhita, Gunji
Xu, Qianwen Ariel
Hossain, M. A.
Guizani, Mohsen

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