ResearchMy research focuses on machine learning methods applied to clinical databases. I use optimized templates to collect patient data and train mathematical algorithms to predict the likelihood of a given outcome. I apply this in the fields of Pain Medicine, Neuroanesthesia, and Neurosurgery to improve the outcome of patients with painful debilitation disease.
Most recent publications:
Tighe P, Lucas SD, Edwards DA, Boezaart AP, Aytug H, Bihorac A. Use of machine learning classifiers to predict requests for preoperative acute pain service consultation. Pain Medicine, Oct 13(10):1347-1357, 2012.
Tighe P, Laduzenski S, Edwards DA, Ellis N, Boezaart AP, Aytug Haldun. Use of machine learning theory to predict the need for femoral nerve block following ACL repair. Pain Medicine, Oct 12(10):1566-1575, 2011.
Edwards DA, Shah HP, Cao W, Gravenstein N, Seubert CV, and Martynyuk AE. Bumetanide alleviates epileptic and neurotoxic effects of sevoflurane in neonatal rat brain. Anesthesiology. March 112(3):567-575, 2010.
Edwards DA and Alger BE. Metaplastic control of the endocannabinoid system at inhibitory synapses in hippocampus. PNAS June 10;105(23):8142-7, 2008.
Edwards DA, Kim J and Alger BE. Multiple mechanisms of endocannabinoid response initiation in hippocampus. J Neurophysiol. 95:67-75, 2006.