Using artificial neural networks for classifying ICU patient states

被引：10
|
作者：
vanGils, M
Jansen, H
Nieminen, K
Summers, R
Weller, PR
机构：
[1] VTT Information Technology, Tampere
[2] Ctr. for Msrmt. and Info. in Med., City University, London
[3] Kuopio University Hospital, Dept. of Intensive Care, Kuopio
[4] NIH/NIA Gerontology Research Center, Baltimore, MD
[5] Dept. Anaestesiology Intensive Care, Kuopio University Hospital
[6] City University, London
[7] IMEKO, IFAC
[8] VTT Information Technology, FIN-33101 Tampere
来源：
IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE | 1997年 / 16卷 / 06期
关键词：
D O I：
10.1109/51.637116
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
At present, several alternative approaches of selecting clinical variables on which to base a diagnosis are already available. One such approach is a model-based technique utilizing artificial neural networks (ANNs). Two different ANN techniques (SOM and BPNs) are used to objectively investigate chosen data input sets. Results show that both can aid in clinical decision making.
引用
收藏
页码：41 / 47
页数：7
相关论文
共 50 条
  • [21] Classifying neuromuscular diseases using artificial neural networks with applied Autoregressive and Cepstral analysis
    Kocer, Sabri
    Tumer, Abdullah Erdal
    [J]. NEURAL COMPUTING & APPLICATIONS, 2017, 28 : S945 - S952
  • [22] Classifying Parkinson's Disease Based on Acoustic Measures Using Artificial Neural Networks
    Berus, Lucijano
    Klancnik, Simon
    Brezocnik, Miran
    Ficko, Mirko
    [J]. SENSORS, 2019, 19 (01)
  • [23] Classifying neuromuscular diseases using artificial neural networks with applied Autoregressive and Cepstral analysis
    Sabri Koçer
    Abdullah Erdal Tümer
    [J]. Neural Computing and Applications, 2017, 28 : 945 - 952
  • [24] Artificial neural networks for classifying magnetic measurements in Tokamak reactors
    Greco, A
    Mammone, N
    Morabito, FC
    Versaci, M
    [J]. ENFORMATIKA, VOL 7: IEC 2005 PROCEEDINGS, 2005, : 40 - 44
  • [25] Artificial Neural Networks for Classifying Magnetic Measurements in Tokamak Reactors
    Greco, A.
    Mammone, N.
    Morabito, F. C.
    Versaci, M.
    [J]. PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 7, 2005, 7 : 40 - 44
  • [26] Classifying vortex wakes using neural networks
    Colvert, Brendan
    Alsalman, Mohamad
    Kanso, Eva
    [J]. BIOINSPIRATION & BIOMIMETICS, 2018, 13 (02)
  • [27] Classifying soil structure using neural networks
    Levine, ER
    Kimes, DS
    Sigillito, VG
    [J]. ECOLOGICAL MODELLING, 1996, 92 (01) : 101 - 108
  • [28] Classifying inventory using an artificial neural network approach
    Partovi, FY
    Anandarajan, M
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2002, 41 (04) : 389 - 404
  • [29] A case study of using artificial neural networks for classifying cause of death from verbal autopsy
    Boulle, A
    Chandramohan, D
    Weller, P
    [J]. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2001, 30 (03) : 515 - 520
  • [30] Selection of input features across subjects for classifying crewmember workload using artificial neural networks
    Laine, TI
    Bauer, KW
    Lanning, JW
    Russell, CA
    Wilson, GF
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2002, 32 (06): : 691 - 704
12345