An application of predictive model in detecting chronic kidney failure and disease using fuzzy logic / Nur Idrina Zakaria & Ain Nazirah Mohd Adnan

Zakaria, Nur Idrina and Mohd Adnan, Ain Nazirah (2019) An application of predictive model in detecting chronic kidney failure and disease using fuzzy logic / Nur Idrina Zakaria & Ain Nazirah Mohd Adnan. Degree thesis, Universiti Teknologi MARA.

Abstract

The 24th report of the Malaysian Dialysis and Transplant register for 2016 states that Malaysia has seen 100% increment in the number of new dialysis patients that suffer from chronic kidney disease (CKD) over the past 10 years. Therefore, this research aimed to predict the CKD using fuzzy logic toolbox. The data were collected from seventy clinical test patients based on blood urea nitrogen, eGFR (estimated glomerular filtration rate) and serum creatinine test The fuzzification of these data was generated using fuzzy toolbox in MATLAB software. As a conclusion, early detection of CKD is very important. The result showed the status of CKD for each patient whether a “Yes” or “No”. As a conclusion, early detection of CKD is very important to help patients to be treated at an early stage with the follow-up treatment and consultation with the nephrologist

Metadata

Item Type: Thesis (Degree)
Creators:
CreatorsEmail / ID. Num
Zakaria, Nur Idrina2016289548
Mohd Adnan, Ain Nazirah2016299186
Contributors:
ContributionNameID Num. / Email
Thesis advisorAbdullah, Nur Solihah KhadhiahUNSPECIFIED
Subjects: Q Science > QA Mathematics > Mathematical statistics. Probabilities > Decision theory > Fuzzy decision making
Q Science > QA Mathematics > Analysis > Analytical methods used in the solution of physical problems
Q Science > QA Mathematics > Online data processing
Q Science > QA Mathematics > Fuzzy logic
Divisions: Universiti Teknologi MARA, Terengganu > Kuala Terengganu Campus > Faculty of Computer and Mathematical Sciences
Programme: Bachelor of Science (Hons) Computational Mathematics
Item ID: 41362
Uncontrolled Keywords: Chronic Kidney Failure ; Malaysian Dialysis ; Fuzzy Toolbox ; MATLAB Software
URI: http://ir.uitm.edu.my/id/eprint/41362

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