Clinical Outcome Prediction in Aneurysmal Subarachnoid Hemorrhage Using Bayesian Neural Networks with Fuzzy Logic Inferences

Por Lo, Benjamin W. Y., Macdonald, R. Loch, Baker, Andrew, Levine, Mitchell A. H.
Publicado em 2013

Risk factors and consequences of unexpected trapping for ruptured anterior communicating artery aneurysms

Por Fukuda, Hitoshi, Iwasaki, Koichi, Murao, Kenichi, Yamagata, Sen, Lo, Benjamin W.Y., Macdonald, R. Loch
Publicado em 2014

Systematic review of clinical prediction tools and prognostic factors in aneurysmal subarachnoid hemorrhage

Por Lo, Benjamin W. Y., Fukuda, Hitoshi, Nishimura, Yusuke, Farrokhyar, Forough, Thabane, Lehana, Levine, Mitchell A. H.
Publicado no Surg Neurol Int (2015)

Pathophysiologic mechanisms of brain-body associations in ruptured brain aneurysms: A systematic review

Por Lo, Benjamin W. Y., Fukuda, Hitoshi, Nishimura, Yusuke, Macdonald, R. Loch, Farrokhyar, Forough, Thabane, Lehana, Levine, Mitchell A. H.
Publicado no Surg Neurol Int (2015)

Aneurysmal subarachnoid hemorrhage prognostic decision-making algorithm using classification and regression tree analysis

Por Lo, Benjamin W. Y., Fukuda, Hitoshi, Angle, Mark, Teitelbaum, Jeanne, Macdonald, R. Loch, Farrokhyar, Forough, Thabane, Lehana, Levine, Mitchell A. H.
Publicado no Surg Neurol Int (2016)

Clinical outcome prediction in aneurysmal subarachnoid hemorrhage – Alterations in brain–body interface

Por Lo, Benjamin W. Y., Fukuda, Hitoshi, Angle, Mark, Teitelbaum, Jeanne, Macdonald, R. Loch, Farrokhyar, Forough, Thabane, Lehana, Levine, Mitchell A. H.
Publicado no Surg Neurol Int (2016)