An effective leukemia prediction technique using supervised machine learning classification algorithm

Mohammad Akter Hossain, Mubtasim Islam Sabik, Md Moshiur Rahman, Shadikun Nahar Sakiba, A. K.M. Muzahidul Islam, Swakkhar Shatabda, Salekul Islam, Ashir Ahmed

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

Leukemia is not only fatal in nature, the treatment is also extremely expensive. Leukemia’s second stage (typically there are four stages) is enough to blow a large hole in a family’s savings. In this paper, we have designed a supervised machine learning model that accurately predicts the possibility of Leukemia at an early stage. We mainly focus on regular symptoms and the probabilities of a subject to develop Leukemia later on. The parameters or features are usually information available at regular checkups. Firstly, we have defined 17 parameters in consultation with the specialist doctors and then we have collected primary data through surveys of different Leukemia and Non Leukemia patients from hospitals. We have divided the data into train and test datasets and applied different machine learning algorithms such as Decision Tree, Random Forest, KNN, Linear Regression, Adaboost, Naive Bayesian, etc. to find out the accuracy. We obtained 98% of accuracy using Decision Tree and Random Forest, 97.21% using KNN, 91.24% using Logistic Regression, 94.24% using Adaboost, and 75.03% using Naive Bayesian, respectively. It is observed that the Decision Tree and the Random Forest classifier outperform the rest.

本文言語英語
ホスト出版物のタイトルProceedings of International Conference on Trends in Computational and Cognitive Engineering - Proceedings of TCCE 2020
編集者M. Shamim Kaiser, Anirban Bandyopadhyay, Mufti Mahmud, Kanad Ray
出版社Springer Science and Business Media Deutschland GmbH
ページ219-229
ページ数11
ISBN(印刷版)9789813346727
DOI
出版ステータス出版済み - 2021
イベント2nd International Conference on Trends in Computational and Cognitive Engineering, TCCE 2020 - Savar, バングラデシュ
継続期間: 12 17 202012 18 2020

出版物シリーズ

名前Advances in Intelligent Systems and Computing
1309
ISSN(印刷版)2194-5357
ISSN(電子版)2194-5365

会議

会議2nd International Conference on Trends in Computational and Cognitive Engineering, TCCE 2020
Countryバングラデシュ
CitySavar
Period12/17/2012/18/20

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

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