# Anemia in young women: determinants and artificial intelligence-based management approaches

## TL;DR

This paper reviews the causes of anemia in young women and explores how artificial intelligence can improve its management through personalized and accessible solutions.

## Contribution

The paper introduces AI-based approaches for anemia management, emphasizing personalized care and public health monitoring.

## Key findings

- Anemia in young women is influenced by multiple factors including nutritional, environmental, and socioeconomic issues.
- AI can enhance anemia screening, risk assessment, and treatment through personalized and accessible methods.
- Successful AI application requires addressing biases, data quality, and ethical considerations.

## Abstract

Anemia is a serious global public health problem, worldwide majority of the young women are suffering with this anemia. Anemia condition is characterized by the deficiency iron, folic acid and other nutrients. Not only nutritional deficiencies, some other factors like environmental, genetic, physiological, nutritional, urbanization and socioeconomic factors influencing the anemia condition. Anemia is highly prevalent and has significant health and economic consequences efforts to decrease its prevalence in this young women group have been surprisingly slow. An Artificial Intelligence helps to shift in addressing the anemic problem. This review focusing on the multifactorial causes of anemia in young women and also AI- based interventions for screening, risk assessment, personalized nutritional counseling, treatment, management and also public health monitoring. AI facilitates greater accessibility, and personalized treatment, its responsible application requires careful consideration of algorithmic biases, data quality, ethical, and seamless integration with current healthcare systems. AI has the potential to revolutionize anemia management and promote equitable responsible and effective health outcomes for young women worldwide.