Abstract:
Chronic Kidney Disease is a high mortality Non-communicable disease included in the
Global Burden of Disease study conducted by WHO. GBD comprises a rigorous
scientific study to quantify the immensity of health loss from all major diseases. The
ranking of CKD in this GBD study is worryingly in the rise. Globally more than 700
million people have been diagnosed with CKD, which constitutes to approximately
10% of the total global population. The impact of CKD leads to kidney failure,
inflicting insurmountable suffering for patients and their families. CKD has not spared
Sri Lanka either. The leading causes of CKD are the type 02 diabetes, hypertension and
chronic glomerulonephritis. Recently, a new form of CKD has arisen wherein the
etiology is unknown. Sri Lanka being an agricultural oriented economy is severely
affected by this disease as the farmers of the northern central province have become a
major target. Kidney diseases are highly complexed in nature. Risk evaluation models
are becoming increasingly important in clinical decision making. The selected novel
Biomarkers KIM1 & NGAL along with the traditional Biomarkers such as Serum
Creatinine and eGFR are increasingly gaining significance. Therefore, a technology
that could utilize these two concepts towards prediction of CKDu will be invaluable.
Use of artificial intelligence could bridge the gap. The research centered in analyzing
and utilizing the validated prediction factors for prevalence of CKD/CKDu among the
Sri Lankan community by designing a customizable mobile application based on a
validated machine learning model. This was successfully achieved by designing a
mobile based solution called DiagnoCare with the help of Machine Learning, utilizing
novel Biomarkers towards the affective prediction of CKD. The mobile application is
expected to be a boon to the Sri Lankan community, especially the farmers who are in
the rural region with restricted access to modern healthcare facilities. The customizable
application is designed, such that it will be able to accommodate the regional as well as
global needs in the future.
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