A Rough Set and Cellular Genetic Fusion Algorithm for Acute Critical Disease Prediction

  • Hongxin Wang
  • Lijing Jia
  • Heng Zhuang
  • Xueyan Li
  • Yuzhuo Zhao
  • Shuxiao Pan
  • Kainan Wu
  • Jing Li Department of School of Economics and Management, Beijing Jiaotong University
  • Tanshi Li


This study is to solve the problems of an overly-broad scale of medical indicators, lack of retrospective research samples, insufficient depth of data mining, and low disease prediction accuracy. In this paper, we propose an intelligent screening algorithm that combines a genetic algorithm, cellular automata, and rough set theory. This algorithm can achieve high accuracy in predicting patient outcomes with a small number of indicators. And we compare it with the traditional genetic algorithm. We built the prediction model with 64 indicators based on the logistic regression (AUC 0.8628), support vector machine (AUC 0.5319), Naïve Bayes (AUC 0.7102), and AdaBoost algorithms (AUC 0.9095). Using the cellular genetic algorithm for attribute screening not only effectively reduces the number of indicators but also achieve almost the same accuracy of prediction with 8 indicators based on the logistic regression (AUC 0.8782), support vector machine (AUC 0.8525), Naïve Bayes (AUC 0.8408), and AdaBoost algorithms (AUC 0.8770). Compared with the traditional scoring system, the predictive model established in this paper can more accurately predict rebleeding accidents based on physiological test indicators and continuous patient indicators.

Author Biographies

Hongxin Wang
Department of Emergency,Armed Police Characteristic Medical Center, Tianjin, China
Lijing Jia
Department of Emergency,Chinese PLA General Hospital, Beijing, China
Heng Zhuang
Department of Emergency,Chinese PLA General Hospital, Beijing, China
Xueyan Li
Management SchoolBeijing Union University, Beijing, China
Yuzhuo Zhao
Department of Emergency,Chinese PLA General Hospital, Beijing, China
Shuxiao Pan
Department of School of Economics and ManagementBeijing Jiaotong University, Beijing, China
Kainan Wu
Department of School of Economics and ManagementUniversity of Chinese Academy of Sciences, Beijing, China
Tanshi Li
Department of Emergency,Chinese PLA General Hospital, Beijing, China


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How to Cite
WANG, Hongxin et al. A Rough Set and Cellular Genetic Fusion Algorithm for Acute Critical Disease Prediction. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 15, n. 6, nov. 2020. ISSN 1841-9844. Available at: <http://univagora.ro/jour/index.php/ijccc/article/view/3894>. Date accessed: 24 oct. 2021. doi: https://doi.org/10.15837/ijccc.2020.6.3894.