Anemia classification in Gujarat using data mining.

It is possible to collect online data from huge databases by web mining. Anemia can be identified by low hemoglobin levels or a shortage of red blood cells. The most frequent cause is undernutrition, which affects young children, pregnant women, and women of reproductive age most frequently. Without treatment or attention, it may result in heart failure or an enlarged heart. In this study, we collect information regarding anemia in Gujarat from the internet and organize it according to several criteria. The dataset is created by using Python soup to scrape the web. We can further categorize the dataset we extract to reach a conclusion. The identification of anemia-related information provided by this research also helps to save lives. Data mining technologies forecast future trends, support organisations, and display facts in a way that is simple for people to grasp. For a variety of stakeholders, including policymakers, programme planners, health service providers, academicians, research scholars, and regular citizens, the data can be processed, analysed, and described by a specially trained algorithm, enabling them to make decisions based on the available evidence. [ABSTRACT FROM AUTHOR]