DEL-Thyroid: deep ensemble learning framework for detection of thyroid cancer progression through genomic mutation.

Shah, Asghar Ali; Daud, Ali; Bukhari, Amal; Alshemaimri, Bader; Ahsan, Muhammad; Younis, Rehmana

Shah, Asghar Ali; Daud, Ali; Bukhari, Amal; Alshemaimri, Bader; Ahsan, Muhammad; Younis, Rehmana.

Afiliação

Shah AA; Center of Excellence in Artificial Intelligence (CoE-AI), Department of Computer Science, Bahria University, Islamabad, 04408, Pakistan.
Daud A; Faculty of Resilience, Rabdan Academy, Abu Dhabi, United Arab Emirates. alimsdb@gmail.com.
Bukhari A; Department of Information Systems and Technology, Collage of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia.
Alshemaimri B; Software Engineering Department, College of Computing and Information Sciences, King Saud University, Riyadh, Saudi Arabia.
Ahsan M; Department of Computer Science, University of Alabama at Birmingham, 1402 10th Avenue S, Birmingham, AL, 35294, USA.
Younis R; College of Letters and Sciences, Graduate Student of Robotics Engineering, Columbus State University, Columbus, USA.

BMC Med Inform Decis Mak ; 24(1): 198, 2024 Jul 22.

Article em En | MEDLINE | ID: mdl-39039464

Assuntos

Aprendizado Profundo; Mutação; Neoplasias da Glândula Tireoide; Humanos; Neoplasias da Glândula Tireoide/genética; Neoplasias da Glândula Tireoide/diagnóstico; Progressão da Doença

Palavras-chave

Bi-directional LSTM (Bi-LSTM); Deep learning; Ensemble learning model (ELM); Gated recurrent units (GRUs); Long short-term memory (LSTM); Mutation detection; Thyroid Cancer

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Glândula Tireoide / Aprendizado Profundo / Mutação Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

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