Applied machine learning in cancer research: A systematic review for patient diagnosis, classification and prognosis.

ABSTRACT: Artificial Intelligence (AI) has recently altered the landscape of cancer research and medical oncology using traditional Machine Learning (ML) algorithms and cutting-edge Deep Learning (DL) architectures. In this review article we focus on the ML aspect of AI applications in cancer research and present the most indicative studies with respect to the ML algorithms and data used. The PubMed and dblp databases were considered to obtain the most relevant research works of the last five years. Based on a comparison of the proposed studies and their research clinical outcomes concerning the medical ML application in cancer research, three main clinical scenarios were identified. We give an overview of the well-known DL and Reinforcement Learning (RL) methodologies, as well as their application

SUBMITTER: Kourou K 

PROVIDER: S-EPMC8523813 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature