Vitamin Deficiency Disease Prediction Dataset

This comprehensive dataset contains 4,000 patient records designed for predicting vitamin and mineral deficiency diseases. It combines demographic information, lifestyle factors, dietary intake patterns, clinical symptoms, and laboratory values to enable machine learning models to identify and predict conditions like Anemia, Scurvy, Rickets, Night Blindness, and other nutritional deficiency diseases.

Unlike survey-based datasets, this collection integrates realistic clinical lab values with symptom profiles, making it ideal for developing practical healthcare prediction models.