Urine Analysis Dataset: Insights into Health Indicators for Kidney, UTI, and Diabetes in Bangladesh

Published: 20 November 2024| Version 1 | DOI: 10.17632/6xhr6sfsr9.1
Contributors:
,
, Mayen Uddin Mojumdar

Description

This dataset consists of urine analysis data collected from individuals in Bangladesh to study and evaluate various health indicators. The dataset includes physiological and biochemical parameters commonly used for diagnosing kidney diseases, urinary tract infections (UTIs), and diabetes. Key features include specific gravity, pH, glucose, protein levels, and other relevant indicators. The data is structured for ease of analysis and supports machine learning applications to develop predictive health models. Key Features: Specific gravity, pH, glucose, protein, nitrite, ketone, bilirubin, and more. Collection Source: Medical centers and local health facilities across Bangladesh. Intended Use: Health diagnostics and biomedical research.

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Institutions

Daffodil International University

Categories

Urinalysis

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