Robert F Harrison
Robert F Harrison
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Introduction to neural networks
SS Cross, RF Harrison, RL Kennedy
The Lancet 346 (8982), 1075-1079, 1995
Free triiodothyronine has a distinct circadian rhythm that is delayed but parallels thyrotropin levels
W Russell, RF Harrison, N Smith, K Darzy, S Shalet, AP Weetman, ...
The Journal of Clinical Endocrinology & Metabolism 93 (6), 2300-2306, 2008
Artificial neural network models for prediction of acute coronary syndromes using clinical data from the time of presentation
RF Harrison, RL Kennedy
Annals of emergency medicine 46 (5), 431-439, 2005
Evaluation of machine-learning methods for ligand-based virtual screening
B Chen, RF Harrison, G Papadatos, P Willett, DJ Wood, XQ Lewell, ...
Journal of computer-aided molecular design 21, 53-62, 2007
Support vector machines for system identification
PML Drezet, RF Harrison
IET Digital Library, 1998
An artificial neural network system for diagnosis of acute myocardial infarction (AMI) in the accident and emergency department: evaluation and comparison with serum myoglobin …
RL Kennedy, RF Harrison, AM Burton, HS Fraser, WG Hamer, ...
Computer Methods and Programs in Biomedicine 52 (2), 93-103, 1997
An incremental adaptive network for on-line supervised learning and probability estimation
CP Lim, RF Harrison
Neural networks 10 (5), 925-939, 1997
A modified fuzzy ARTMAP architecture for the approximation of noisy mappings
S Marriott, RF Harrison
Neural Networks 8 (4), 619-641, 1995
Salivary cortisone reflects cortisol exposure under physiological conditions and after hydrocortisone
M Debono, RF Harrison, MJ Whitaker, D Eckland, W Arlt, BG Keevil, ...
The Journal of Clinical Endocrinology & Metabolism 101 (4), 1469-1477, 2016
Bayesian hierarchical models for aerospace gas turbine engine prognostics
MA Zaidan, RF Harrison, AR Mills, PJ Fleming
Expert Systems with Applications 42 (1), 539-553, 2015
Early diagnosis of acute myocardial infarction using clinical and electrocardiographic data at presentation: derivation and evaluation of logistic regression models
RL Kennedy, HS Fraser, LN McStay, RF Harrison
European heart journal 17 (8), 1181-1191, 1996
Gas turbine engine prognostics using Bayesian hierarchical models: A variational approach
MA Zaidan, AR Mills, RF Harrison, PJ Fleming
Mechanical Systems and Signal Processing 70, 120-140, 2016
Application of the fuzzy ARTMAP neural network model to medical pattern classification tasks
J Downs, RF Harrison, RL Kennedy, SS Cross
Artificial Intelligence in Medicine 8 (4), 403-428, 1996
Expression of receptor activator of nuclear factor κβ ligand (RANKL) and tumour necrosis factor related, apoptosis inducing ligand (TRAIL) in breast cancer, and their relations …
SS Cross, RF Harrison, SP Balasubramanian, JM Lippitt, CA Evans, ...
Journal of clinical pathology 59 (7), 716-720, 2006
The early diagnosis of heart attacks: a neurocomputational approach
RF Harrison, SJ Marshall, RL Kennedy
IJCNN-91-Seattle International Joint Conference on Neural Networks 1, 1-5, 1991
Optimization and training of feedforward neural networks by genetic algorithms
SJ Marshall, RF Harrison
1991 Second International Conference on Artificial Neural Networks, 39-43, 1991
Application of autonomous neural network systems to medical pattern classification tasks
CP Lim, RF Harrison, RL Kennedy
Artificial intelligence in medicine 11 (3), 215-239, 1997
Virtual screening using binary kernel discrimination: analysis of pesticide data
DJ Wilton, RF Harrison, P Willett, J Delaney, K Lawson, G Mullier
Journal of chemical information and modeling 46 (2), 471-477, 2006
Hormonal circadian rhythms in patients with congenital adrenal hyperplasia: identifying optimal monitoring times and novel disease biomarkers
M Debono, A Mallappa, V Gounden, AA Nella, RF Harrison, ...
European journal of endocrinology 173 (6), 727-737, 2015
Resetting the abnormal circadian cortisol rhythm in adrenal incidentaloma patients with mild autonomous cortisol secretion
M Debono, RF Harrison, R Chadarevian, C Gueroult, JL Abitbol, ...
The Journal of Clinical Endocrinology & Metabolism 102 (9), 3461-3469, 2017
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