Multi-class classification algorithms for the diagnosis of anemia in an outpatient clinical setting.

ABSTRACT: Anemia is one of the most pressing public health issues in the world with iron deficiency a major public health issue worldwide. The highest prevalence of anemia is in developing countries. The complete blood count is a blood test used to diagnose the prevalence of anemia. While earlier studies have framed the problem of diagnosis as a binary classification problem, this paper frames it as a multi class (three classes) classification problem with mild, moderate and severe classes. The three classes for the anemia classification (mild, moderate, severe) are so chosen as the world health organization (WHO) guidelines formalize this categorization based on the Haemoglobin (HGB) values of the chosen sample of patients in the Complete Blood Count (CBC) patient data set. Complete blood count tes

SUBMITTER: Vohra R 

PROVIDER: S-EPMC9258850 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature