Bakar, Shaiful Anuar Abu and Nazatul, Sharifah and Shahruddin, Shima Syed Mohamed and Ismail, Noriszura and Adnan, Wan Ahmad Hafiz Wan Md (2022) Biological age for chronic kidney disease patients using index model. PeerJ, 10. ISSN 2167-8359, DOI https://doi.org/10.7717/peerj.13694.
Full text not available from this repository.Abstract
The estimation of biological age (BA) is an important asymptomatic measure that can be used to understand the physical changes and the aging process of a living being. Factors that contribute towards profiling the human biological age can be diverse. Therefore, this study focuses on developing a BA model for patients with Chronic Kidney Disease (CKD). The procedure commences with the selection of significant biomarkers using a correlation test. Appropriate weighting is then assigned to each selected biomarker using the indexing method to produce a BA index. The BA index is matched to the age variation within the sample to acquire additional terms for the chronological age leading ultimately to the estimated BA. From a sample of 190 patients (133 trained data and 57 testing data) obtained from the University of Malaya Medical Centre (UMMC), Malaysia, the intensity of the BA is found to be between three to nine years from the chronological age. Visual observations further validate the high similarities between the training and testing data sets.
| Item Type: | Article |
|---|---|
| Funders: | Universiti Teknologi MARA under Geran Penyelidikan Khas 600-RMC/GPK 5/3 (280/2020) |
| Uncontrolled Keywords: | Ageing; Biological age; Chronic kidney disease; Illness severity |
| Subjects: | Q Science > QH Natural history > QH301 Biology R Medicine > RC Internal medicine |
| Divisions: | Faculty of Medicine > Medicine Department |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 19 Oct 2023 01:35 |
| Last Modified: | 19 Oct 2023 01:35 |
| URI: | http://eprints.um.edu.my/id/eprint/41552 |
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