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Chronic Kidney Disease
This dataset can be used to predict the chronic kidney disease and it can be collected from the hospital nearly 2 months of period.
Risk Factor Prediction of Chronic Kidney Disease
Chronic kidney disease (CKD) is an increasing medical issue that declines the productivity of renal capacities and subsequently damages the kidneys.
TCGA Kidney Cancers
The TCGA Kidney Cancers Dataset is a bulk RNA-seq dataset that contains transcriptome profiles of patients diagnosed with three different subtypes of kidney cancers. This dataset can be used to make predictions about the specific subtype of kidney cancers given the normalized transcriptome profile data, as well as providing a hands-on experience on large and sparse genomic information.
Gallstone
The clinical dataset was collected from the Internal Medicine Outpatient Clinic of Ankara VM Medical Park Hospital and includes data from 319 individuals (June 2022–June 2023), 161 of whom were diagnosed with gallstone disease. It contains 38 features, including demographic, bioimpedance, and laboratory data, and was ethically approved by the Ankara City Hospital Ethics Committee (E2-23-4632). Demographic variables are age, sex, height, weight, and BMI. Bioimpedance data includes total, extracellular, and intracellular water, muscle and fat mass, protein, visceral fat area, and hepatic fat. Laboratory features are glucose, total cholesterol, HDL, LDL, triglycerides, AST, ALT, ALP, creatinine, GFR, CRP, hemoglobin, and vitamin D. The dataset is complete, with no missing values, and balanced in terms of disease status, eliminating the need for additional preprocessing. It provides a strong foundation for machine learning-based gallstone prediction using non-imaging features.
REJAFADA
REJAFADA (Retrieval of Jar Files Applied to Dynamic Analysis) aims to be used, as benchmark, to check the quality of the detection of Jar malware.
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