A Feature Optimized Deep Learning Model for Clinical Data Mining

被引：0
|
作者：
WU Tianshu [1 ]
CHEN Shuyu [1 ]
TIAN Yingming [2 ]
WU Peng [2 ]
机构：
[1] College of Computer Science, Chongqing University
[2] College of Automation, Chongqing University
来源：
ChineseJournalofElectronics | 2020年 / 29卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Clinical data mining; Random forests(RF); Long short-term memory(LSTM);
D O I：
暂无
中图分类号：
R-05 [医学与其他学科的关系]; TP311.13 []; TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1001 ; 1201 ; 1405 ;
摘要：
the Artificial intelligence(AI) has gradually changed from frontier technology to practical application with the continuous progress of deep learning technology in recent years. In this paper, the Random forest(RF) algorithm is adopted to preprocess and optimize the feature subset of ICU data sets. Then these optimized feature subsets are used as input of Long shortterm memory(LSTM) deep learning model, and the early disease prediction of ICU inpatients is carried out by the method of neural network deep learning. Experiments show that this prediction method has higher prediction accuracy compared with other machine learning and deep learning models.
引用
收藏
页码：476 / 481
页数：6
相关论文
共 50 条
  • [1] A Feature Optimized Deep Learning Model for Clinical Data Mining
    Wu Tianshu
    Chen Shuyu
    Tian Yingming
    Wu Peng
    CHINESE JOURNAL OF ELECTRONICS, 2020, 29 (03) : 476 - 481
  • [2] An Optimized Deep Learning Model with Feature Fusion for Brain Tumor Detection
    Patil, Suraj
    Kirange, Dnyaneshwar
    INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING, 2023, 14 (01):
  • [3] Study on Feature Selection and Feature Deep Learning Model For Big Data
    Yu, Ping
    Yan, Hui
    2018 3RD INTERNATIONAL CONFERENCE ON SMART CITY AND SYSTEMS ENGINEERING (ICSCSE), 2018, : 792 - 795
  • [4] Cerebro: A Data System for Optimized Deep Learning Model Selection
    Nakandala, Supun
    Zhang, Yuhao
    Kumar, Arun
    PROCEEDINGS OF THE VLDB ENDOWMENT, 2020, 13 (11): : 2159 - 2173
  • [5] A data mining model of knowledge discovery based on the deep learning
    Ma, Yonglin
    Tan, Yuanhua
    Zhang, Chaolin
    Mao, Yici
    PROCEEDINGS OF THE 2015 10TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, 2015, : 1217 - 1221
  • [6] A Taxonomy of Optimal Feature Learning Model in Combined Data Mining System
    Nivetha, S.
    Sheshasaayee, Ananthi
    2021 IEEE INTERNATIONAL CONFERENCE ON MOBILE NETWORKS AND WIRELESS COMMUNICATIONS (ICMNWC), 2021,
  • [7] A Taxonomy of Optimal Feature Learning Model in Combined Data Mining System
    Nivetha, S.
    Sheshasaayee, Ananthi
    2021 IEEE International Conference on Mobile Networks and Wireless Communications, ICMNWC 2021, 2021,
  • [8] Deep Computation Model for Unsupervised Feature Learning on Big Data
    Zhang, Qingchen
    Yang, Laurence T.
    Chen, Zhikui
    IEEE TRANSACTIONS ON SERVICES COMPUTING, 2016, 9 (01) : 161 - 171
  • [9] High Performance Deep Learning GPR Feature Detector Model for Potash Mining
    Sadeghikhah, Kaveh
    Paranjape, Raman
    Okonkwo, Victor
    2024 21ST INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING/ELECTRONICS, COMPUTER, TELECOMMUNICATIONS AND INFORMATION TECHNOLOGY, ECTI-CON 2024, 2024,
  • [10] Particle swarm optimized extreme learning machine for feature classification in power quality data mining
    Vidhya, S.
    Kamaraj, V
    AUTOMATIKA, 2017, 58 (04) : 487 - 494
12345