Identification of Various Deficiencies Using Data Mining Techniques: A Survey

The document discussed how globalization and modernization led to changes in dietary patterns, resulting in nutrition deficiencies such as protein, carbohydrates, fats, minerals, and vitamins. These deficiencies were significant contributors to global disease burdens. Health care professionals and government decision-makers used data mining techniques to analyze healthcare surveys and medical records to improve public health. The study focused on identifying malnutrition in children and the elderly, recognizing anemia due to iron deficiency, and diagnosing hair loss by analyzing deficiencies in zinc, iron, and vitamins. Techniques used included decision trees, classification methods, artificial neural networks, support vector machines, and statistical methods.