Detail Information
Publications
A review of evidence of health benefit from artificial neural networks in medical interventionP 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...
Continuous and discrete time survival analysis: neural network approachesA 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...
Breast cancer predictions by neural networks analysis: a comparison with logistic regressionV S Bourdès
Themis ICTA Group, Lyon, France
Conf Proc IEEE Eng Med Biol Soc 2007:5424-7. 2007....
