A novel approach for personalized response model: deep learning with individual dropout feature ranking.

Huang, Ruihao; Liu, Qi; Feng, Ge; Wang, Yaning; Liu, Chao; Gopalakrishnan, Mathangi; Liu, Xiangyu; Gong, Yutao; Zhu, Hao

Huang, Ruihao; Liu, Qi; Feng, Ge; Wang, Yaning; Liu, Chao; Gopalakrishnan, Mathangi; Liu, Xiangyu; Gong, Yutao; Zhu, Hao.

Afiliação

Huang R; Department of Mathematical Sciences, Michigan Technological University, Houghton, MI, USA.
Liu Q; Office of Clinical Pharmacology, Office of Translational Science, Center for Drug Evaluation Research, US Food and Drug Administration, White Oak, MD, USA.
Feng G; Department of Mathematical Sciences, Michigan Technological University, Houghton, MI, USA.
Wang Y; Office of Clinical Pharmacology, Office of Translational Science, Center for Drug Evaluation Research, US Food and Drug Administration, White Oak, MD, USA.
Liu C; Office of Clinical Pharmacology, Office of Translational Science, Center for Drug Evaluation Research, US Food and Drug Administration, White Oak, MD, USA.
Gopalakrishnan M; Center for Translational Medicine, University of Maryland School of Pharmacy, Baltimore, MD, USA.
Liu X; Office of Clinical Pharmacology, Office of Translational Science, Center for Drug Evaluation Research, US Food and Drug Administration, White Oak, MD, USA.
Gong Y; Oncology Center of Excellence, Office of Hematology and Oncology Products, US Food and Drug Administration, Silver Spring, MD, USA.
Zhu H; Office of Clinical Pharmacology, Office of Translational Science, Center for Drug Evaluation Research, US Food and Drug Administration, White Oak, MD, USA. Hao.Zhu@fda.hhs.gov.

J Pharmacokinet Pharmacodyn ; 48(1): 165-179, 2021 02.

Article em En | MEDLINE | ID: mdl-33104924

Assuntos

Aprendizado Profundo; Modelos Biológicos; Medicina de Precisão/métodos; Variação Biológica da População; Simulação por Computador; Conjuntos de Dados como Assunto; Tratamento Farmacológico; Humanos; Resultado do Tratamento

Palavras-chave

Artificial intelligence; Deep learning; Individual dropout feature ranking; Machine learning; Variational lower bound

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Medicina de Precisão / Aprendizado Profundo / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Pharmacokinet Pharmacodyn Assunto da revista: FARMACOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Estados Unidos

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google