Balancing Clinical and Pathologic Relevence in the Machine Learning Diagnosis of Epilepsy

about

Multimodal diagnosis of epilepsy using conditional dependence and multiple imputation Learning stable and predictive network-based patterns of schizophrenia and its clinical symptoms.

P2860

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Balancing Clinical and Pathologic Relevence in the Machine Learning Diagnosis of Epilepsy

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http://www.wikidata.org/entity/Q42171032

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2013 nî lūn-bûn

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2013年の論文

@ja

2013年論文

@yue

2013年論文

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2013年論文

@zh-hk

2013年論文

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2013年論文

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2013年论文

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2013年论文

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2013年论文

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name

Balancing Clinical and Pathologic Relevence in the Machine Learning Diagnosis of Epilepsy

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Balancing Clinical and Pathologic Relevence in the Machine Learning Diagnosis of Epilepsy

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type

Item

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Balancing Clinical and Pathologic Relevence in the Machine Learning Diagnosis of Epilepsy

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Balancing Clinical and Pathologic Relevence in the Machine Learning Diagnosis of Epilepsy

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Balancing Clinical and Pathologic Relevence in the Machine Learning Diagnosis of Epilepsy

@en

Balancing Clinical and Pathologic Relevence in the Machine Learning Diagnosis of Epilepsy

@nl

P1476

Balancing Clinical and Pathologic Relevence in the Machine Learning Diagnosis of Epilepsy

@en

P2093

Aaron Trefler

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Andrew Y Cho

http://www.w3.org/2001/XMLSchema#string

Ariana Anderson

http://www.w3.org/2001/XMLSchema#string

Daniel H Silverman

http://www.w3.org/2001/XMLSchema#string

Edward P Lau

http://www.w3.org/2001/XMLSchema#string

Eric S Hwang

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Kaavya R Raman

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Mark S Cohen

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Navya M Reddy

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Stefan T Nguyen

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P2860

The neurobiology of antiepileptic drugs

Hippocampal sclerosis in temporal lobe epilepsy: findings at 7 T¹.

Temporal lobe epilepsy: quantitative MR volumetry in detection of hippocampal atrophy.

Minimum redundancy feature selection from microarray gene expression data.

Individual subject classification for Alzheimer's disease based on incremental learning using a spatial frequency representation of cortical thickness data.

Classification and lateralization of temporal lobe epilepsies with and without hippocampal atrophy based on whole-brain automatic MRI segmentation.

Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy.

Psychotropic effects of antiepileptic drugs.

Risk factors for psychogenic nonepileptic seizures in children and adolescents with epilepsy.

Computer-Aided Diagnosis and Localization of Lateralized Temporal Lobe Epilepsy Using Interictal FDG-PET.

P304

86-89

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P31

scholarly article

P356

10.1109/PRNI.2013.31

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P478

2013

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P50

Wesley T. Kerr

Pamela K Douglas

P577

2013-06-01T00:00:00Z

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P698

25302313

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P921

machine learning

P932

4188528

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Balancing Clinical and Pathologic Relevence in the Machine Learning Diagnosis of Epilepsy

about

P2860

P2860

Balancing Clinical and Pathologic Relevence in the Machine Learning Diagnosis of Epilepsy

description

name

type

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P1433

P1476

P2093

P2860

P304

P31

P356

P478

P50

P577

P698

P921

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P478

P50

P577

P698

P921

P932