Automatic classification of epilepsy types using ontology-based and genetics-based machine learning.
about
Harnessing ontology and machine learning for RSO classificationTrhOnt: building an ontology to assist rehabilitation processes.Predicting activities of daily living for cancer patients using an ontology-guided machine learning methodology.Automated analysis of seizure semiology and brain electrical activity in presurgery evaluation of epilepsy: A focused survey.Natural and Artificial Intelligence in Neurosurgery: A Systematic Review.
P2860
Automatic classification of epilepsy types using ontology-based and genetics-based machine learning.
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
2014年论文
@zh
2014年论文
@zh-cn
name
Automatic classification of ep ...... netics-based machine learning.
@en
type
label
Automatic classification of ep ...... netics-based machine learning.
@en
prefLabel
Automatic classification of ep ...... netics-based machine learning.
@en
P2093
P50
P921
P1476
Automatic classification of ep ...... netics-based machine learning.
@en
P2093
Elmar Berghöfer
Roberta Perrone
Yohannes Kassahun
P356
10.1016/J.ARTMED.2014.03.001
P577
2014-03-15T00:00:00Z