Title: Application of data mining on cloud for lung cancer prognosis
Authors: Juliet Rani Rajan; V. Maria Anu
Addresses: Lead-Education, Training and Assessment, Infosys Limited, TP 1/1 Central Avenue, Chengalpattu, India ' Department of Computer Science and Engineering, Vellore Institute of Technology, Chennai Campus, India
Abstract: Data is growing exponentially at a faster rate with the growing population. Today, we are involved in building models to predict several diseases and cancer is one of the major diseases which requires a model to predict the disease at an early stage. Most of time, cancer is diagnosed at the later stage, i.e., stage 4. Diagnosing cancer at stage 1 can increase the survival rate of the patient by 85%. Hence the goal of the article is to predict cancer during stage 1 itself. Another challenge the article addresses is handling huge amount of cancer data in order to come up with the model that performs accurate prediction.
Keywords: classification; gradient descent; predictive model; support vector machine; SVM; cloud computing; machine learning; precision; recall; classification accuracy.
International Journal of Cloud Computing, 2022 Vol.11 No.5/6, pp.449 - 455
Received: 08 Jul 2019
Accepted: 28 Mar 2020
Published online: 02 Feb 2023 *