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A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets, with application to adolescent brain development and osteoporosis.
Alam, Md Ashad; Qiu, Chuan; Shen, Hui; Wang, Yu-Ping; Deng, Hong-Wen.
Afiliação
  • Alam MA; Tulane Center for Biomedical Informatics and Genomics, Tulane University, New Orleans, LA 70112, USA; Division of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University, New Orleans, LA 70112, USA. Electronic address: malam@tulane.edu.
  • Qiu C; Tulane Center for Biomedical Informatics and Genomics, Tulane University, New Orleans, LA 70112, USA; Division of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University, New Orleans, LA 70112, USA.
  • Shen H; Tulane Center for Biomedical Informatics and Genomics, Tulane University, New Orleans, LA 70112, USA; Division of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University, New Orleans, LA 70112, USA.
  • Wang YP; Tulane Center for Biomedical Informatics and Genomics, Tulane University, New Orleans, LA 70112, USA; Department of Biomedical Engineering, Tulane University, New Orleans, LA 70118, USA.
  • Deng HW; Tulane Center for Biomedical Informatics and Genomics, Tulane University, New Orleans, LA 70112, USA; Division of Biomedical Informatics and Genomics, Deming Department of Medicine, Tulane University, New Orleans, LA 70112, USA.
J Biomed Inform ; 120: 103854, 2021 08.
Article em En | MEDLINE | ID: mdl-34237438

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Osteoporose / Algoritmos Tipo de estudo: Prognostic_studies Limite: Adolescent / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Osteoporose / Algoritmos Tipo de estudo: Prognostic_studies Limite: Adolescent / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article