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Autor:
Lu Yang, Xin Feng, Han Li, Fei Li, Meiyu Duan, Shuai Liu, Fengfeng Zhou, Qichen Zheng, Lan Huang
Publikováno v:
IEEE Access, Vol 9, Pp 24433-24445 (2021)
Breast cancer is one of main causes of death for women. Most of the existing survival analyses focus on the features’ associations with whether the patients may survive five years or not. The personalized question remains largely unresolved about h
Publikováno v:
IEEE Access, Vol 9, Pp 51659-51668 (2021)
The high dimension, high redundancy and class imbalance of cancer multiple omics data are the main challenges for cancer diagnosis. Existing studies have neglected the role of functional proteomics in the occurrence and development of cancer. In this
Autor:
Wan Safwani Wan Kamarul Zaman, Salmah Bt. Karman, Mohd Yazed Ahmad, Siti Nurainie Bt. Tukimin, Effirul Ikhwan Ramlan
Publikováno v:
IEEE Access, Vol 9, Pp 25926-25945 (2021)
The applicability of machine learning-based analysis in the field of biomedical field has been very beneficial in determining the biological mechanism and validation for a wide range of biological scenarios. This approach is also gaining momentum in
Publikováno v:
IEEE Access, Vol 9, Pp 5704-5715 (2021)
Epidermal growth factor receptor (EGFR) plays an important role in lung cell proliferation. Dimerization of EGFR family members and other receptor tyrosine kinases (RTKs) act as a vital controller for lung cell life cycle signals. Mutations in the ki
Autor:
Eduardo Negrão, Joana Morgado, Cláudia Freitas, Miguel Correia da Silva, Beatriz Flor de Lima, Hélder P. Oliveira, António J. Madureira, José Luis Costa, Antonio José Ledo Alves da Cunha, José João Mendes, Venceslau Hespanhol, Julieta Frade, Tania Pereira, Isabel Ramos, Francisco Silva
Publikováno v:
IEEE Access, Vol 9, Pp 58667-58676 (2021)
Statistics have demonstrated that one of the main factors responsible for the high mortality rate related to lung cancer is the late diagnosis. Precision medicine practices have shown advances in the individualized treatment according to the genetic
Autor:
Ruoxi Qin, Lingyun Jiang, Bin Yan, Jian Chen, Zhenzhen Wang, Jinjin Hai, Xilong Pei, Dapeng Shi, Kai Qiao
Publikováno v:
IEEE Access, Vol 8, Pp 38517-38527 (2020)
The mutation status of the epidermal growth factor receptor (EGFR) is an important clinical reference indicator for lung cancer diagnosis and treatment. However, the extraction of effective discriminative features for non-invasive computer-aided EGFR
Publikováno v:
IEEE Access, Vol 8, Pp 45468-45476 (2020)
Electronic medical data have significant advantages over paper-based patient records when it comes to storage and retrieval. However, most existing medical data sharing schemes have security risks, such as being prone to data tampering and forgery, a
Publikováno v:
IEEE Access, Vol 8, Pp 28360-28366 (2020)
In order to have greater clinical prediction during the early stage of drug development process, tumor spheroid culture model is generally used to investigate the drug response. Since the tumor spheroids are cultured in three-dimensional environment,
Publikováno v:
IEEE Access, Vol 8, Pp 30515-30521 (2020)
Cancers, a group of multifactorial complex diseases, are generally caused by mutation of multiple genes or dysregulation of gene interactions. Applying machine learning methods to microarray gene expression profiles for disease classification is a po
Autor:
Mohammad Ali Moni, Md. Nurul Haque Mollah, Rezanur Rahman, Sheikh Mohammed Shariful Islam, Abdul Awal, M. Babul Islam, Julian M.W. Quinn, Rashed-Al-Mahfuz
Publikováno v:
IEEE Access, Vol 8, Pp 1486-1497 (2020)
Developing type 2 diabetes (T2D) can increase patient risk of developing other common diseases and exacerbate their severity, including diseases that affect bone and joints. Such comorbidity interactions are hard to study in detail by traditional end