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machine_learning [2018/07/21 12:55]
administrador
machine_learning [2018/07/21 13:06] (current)
administrador
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 ((Jordan MI, Mitchell TM. Machine learning: trends, perspectives,​ and prospects. Science . 2015;​349(6245):​255-260.)). ((Jordan MI, Mitchell TM. Machine learning: trends, perspectives,​ and prospects. Science . 2015;​349(6245):​255-260.)).
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-ML is increasingly tested in neurosurgical applications and even demonstrated to emulate the performance of clinical ​experts+ML is increasingly tested in neurosurgical applications and even demonstrated to emulate the performance of clinical ​[[expert]]s
 ((Mariak Z, Swiercz M, Krejza J, Lewko J, Lyson T. Intracranial pressure processing with artificial neural networks: classification of signal properties. Acta Neurochir (Wien) . 2000;​142(4):​407-411;​ discussion 411-402.)) ((Mariak Z, Swiercz M, Krejza J, Lewko J, Lyson T. Intracranial pressure processing with artificial neural networks: classification of signal properties. Acta Neurochir (Wien) . 2000;​142(4):​407-411;​ discussion 411-402.))
 ((Nucci CG, De Bonis P, Mangiola A et al.   ​Intracranial pressure wave morphological classification:​ automated analysis and clinical validation. Acta Neurochir (Wien) . 2016;​158(3):​581-588;​ discussion 588.)) ((Nucci CG, De Bonis P, Mangiola A et al.   ​Intracranial pressure wave morphological classification:​ automated analysis and clinical validation. Acta Neurochir (Wien) . 2016;​158(3):​581-588;​ discussion 588.))
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