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Autor:
Jifa Li, Peiliang Wu, Ali Asghar Heidari, Mayun Chen, Xueding Cai, Shimin Li, Xiaoying Huang, Chengye Li, Mengxiang Chen, Liangxing Wang, Hua Ye, Mingjing Wang, Huiling Chen
Publikováno v:
Ieee Access
IEEE Access, Vol 9, Pp 45486-45503 (2021)
IEEE Access, Vol 9, Pp 45486-45503 (2021)
This paper has proposed an effective intelligent prediction model that can well discriminate and specify the severity of Coronavirus Disease 2019 (COVID-19) infection in clinical diagnosis and provide a criterion for clinicians to weigh scientific an
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:
Sheraz Ahmed, Johan Trygg, Muhammad Nabeel Asim, Muhammad Imran Malik, Andreas Dengel, Christoph Zehe
Publikováno v:
IEEE Access, Vol 9, Pp 19379-19390 (2021)
Small non-coding RNAs (ncRNAs) are attracting increasing attention as they are now considered potentially valuable resources in the development of new drugs intended to cure several human diseases. A prerequisite for the development of drugs targetin
Autor:
Sergio Muñoz-Romero, Arantzazu Barquin, Luis Bote-Curiel, José Luis Rojo-Álvarez, Monica Yague-Fernandez, Sergio Ruiz-Llorente, Jesús García-Donas
Publikováno v:
IEEE Access, Vol 9, Pp 25959-25972 (2021)
Ovarian cancer (OC) is the second most common gynecological malignancy and the gynecological tumor with the worst prognosis. To try to improve this situation, Data Science technologies could be a useful tool to help clinicians to know more about the
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 8, Pp 197352-197362 (2020)
In recent times, the performance of computer-aided diagnosis systems in classification of malignancies has significantly improved. Search and retrieval methods are specifically important as they assist physicians in making the right diagnosis in medi
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 136978-136991 (2020)
With recent advancement in computational biology, high throughput next generation sequencing technology has become a de facto standard technology for genes expression studies including DNAs, RNAs and proteins. As a promising technology, it has signif
Publikováno v:
IEEE Access, Vol 8, Pp 132188-132199 (2020)
As one of the key components in mechanical systems, rotatory machine plays a significant role in safe and stable operation. Accurate prediction of the Remaining Useful Life (RUL) of rotatory machine contributes to realization of intelligent operation
Autor:
Dariusz Mrozek, Aleksander Placzek, Michal Jarzab, Agnieszka Kotecka-Blicharz, Alicja Pluciennik
Publikováno v:
IEEE Access, Vol 8, Pp 175125-175139 (2020)
The use of machine learning has increased over the years, especially in the world of molecular data. Generally, the inference of relationships between features is determined by statistical models. The phenotype (observable clinical characteristics) c