P J G Lisboa

Summary

Affiliation: Liverpool John Moores University
Country: UK

Publications

  1. ncbi request reprint A review of evidence of health benefit from artificial neural networks in medical intervention
    P J G Lisboa
    School of Computing and Mathematical Sciences, Liverpool John Moores University, UK
    Neural Netw 15:11-39. 2002
  2. ncbi request reprint Continuous and discrete time survival analysis: neural network approaches
    A Eleuteri
    Department of Clinical Engineering, Royal Liverpool University Hospital, Liverpool, UK
    Conf Proc IEEE Eng Med Biol Soc 2007:5420-3. 2007
  3. ncbi request reprint Breast cancer predictions by neural networks analysis: a comparison with logistic regression
    V S Bourdès
    Themis ICTA Group, Lyon, France
    Conf Proc IEEE Eng Med Biol Soc 2007:5424-7. 2007

Collaborators

  • A Eleuteri
  • V S Bourdès
  • M S H Aung
  • T Bachelot
  • A F G Taktak
  • S Chabaud
  • S Bonnevay
  • B Damato
  • D Perol
  • S Negrier

Detail Information

Publications3

  1. ncbi request reprint A review of evidence of health benefit from artificial neural networks in medical intervention
    P J G Lisboa
    School of Computing and Mathematical Sciences, Liverpool John Moores University, UK
    Neural Netw 15:11-39. 2002
    ..This is followed by a survey of published Randomised Controlled Trials and Clinical Trials, leading to recommendations for good practice in the design and evaluation of neural networks for use in medical intervention...
  2. ncbi request reprint Continuous and discrete time survival analysis: neural network approaches
    A Eleuteri
    Department of Clinical Engineering, Royal Liverpool University Hospital, Liverpool, UK
    Conf Proc IEEE Eng Med Biol Soc 2007:5420-3. 2007
    ..093) at year 1, to 0.75 (SE=0.034) at year 7 for the continuous time model; from 0.81 (SE=0.07) at year 1, to 0.75 (SE=0.033) at year 7 for the discrete time model. For both models the calibration was good (p<0.05) up to 7 years...
  3. ncbi request reprint Breast cancer predictions by neural networks analysis: a comparison with logistic regression
    V S Bourdès
    Themis ICTA Group, Lyon, France
    Conf Proc IEEE Eng Med Biol Soc 2007:5424-7. 2007
    ....