Identification of Various Deficiencies Using Data Mining Techniques - A Survey
Abstract: Globalization and modernization changing people dietary patterns and life styles, in particular the nutrition transition away from fruits and vegetables and greater consumption of more energy dense, nutrient- poor diets dependence on television, computers and mobile phones foe leisure time along with reduced level of physical activity. This leads nutrition deficiency of protein, carbohydrates, fats, minerals and vitamins. This nutrition deficiency is major factor for many global burdens of diseases. Health care professionals and decision makers from government using data mining to analyze deficiencies from several healthcare surveys and medical records to improve public health. This study provide malnutrition identification from children and elder people, recognition of anemia by iron deficiency, hair loss diagnosis by analyzing zinc, iron, vitamin deficiencies and also it uses mining techniques of decision tree, classification methods, artificial neural networks, support vector machines and statistical methods.
Keywords: Malnutrition, Deficiencies, Data mining, Decision tree, Classification, Artificial neural network
How to Cite?: D. Thangamani, P. Sudha, "Identification of Various Deficiencies Using Data Mining Techniques - A Survey", Volume 3 Issue 7, July 2014, International Journal of Science and Research (IJSR), Pages: 1270-1274, https://www.ijsr.net/getabstract.php?paperid=2014868, DOI: https://dx.doi.org/10.21275/2014868