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Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data.
Munsell, Brent C; Wee, Chong-Yaw; Keller, Simon S; Weber, Bernd; Elger, Christian; da Silva, Laura Angelica Tomaz; Nesland, Travis; Styner, Martin; Shen, Dinggang; Bonilha, Leonardo.
Affiliation
  • Munsell BC; Department of Computer Science, College of Charleston, Charleston, SC, USA. Electronic address: munsellb@cofc.edu.
  • Wee CY; Department of Radiology and BRIC, University of North Carolina at Chapel Hill, NC, USA.
  • Keller SS; Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, UK.
  • Weber B; Department of Epileptogy, University of Bonn, Germany.
  • Elger C; Department of Epileptogy, University of Bonn, Germany.
  • da Silva LA; Department of Computer Science, College of Charleston, Charleston, SC, USA.
  • Nesland T; Department of Neurology, Medical University of South Carolina, Charleston, SC, USA.
  • Styner M; Department of Psychiatry, University of North Carolina at Chapel Hill, NC, USA.
  • Shen D; Department of Radiology and BRIC, University of North Carolina at Chapel Hill, NC, USA. Electronic address: dinggang_shen@med.unc.edu.
  • Bonilha L; Department of Neurology, Medical University of South Carolina, Charleston, SC, USA.
Neuroimage ; 118: 219-30, 2015 Sep.
Article in En | MEDLINE | ID: mdl-26054876
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Diagnosis, Computer-Assisted / Epilepsy, Temporal Lobe / Connectome / Machine Learning Type of study: Diagnostic_studies / Etiology_studies / Evaluation_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Neuroimage Journal subject: DIAGNOSTICO POR IMAGEM Year: 2015 Document type: Article Country of publication: Estados Unidos
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Diagnosis, Computer-Assisted / Epilepsy, Temporal Lobe / Connectome / Machine Learning Type of study: Diagnostic_studies / Etiology_studies / Evaluation_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: Neuroimage Journal subject: DIAGNOSTICO POR IMAGEM Year: 2015 Document type: Article Country of publication: Estados Unidos