- 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....