Title :
Intelligent Machine for Nutritional Management & Healthcare Using ANN
Author :
Pawar, A.S. ; Agarkar, A.M.
Author_Institution :
Dept. of Electron. & Telecommun., Pimpri Chinchwad Coll. of Eng., Pune, India
Abstract :
Childhood is a dynamic period of life that rapid growth and development take place. Making mistakes in feeding practices of children may lead to undesirable consequences like malnutrition and obesity. Use of an automated computer-based technique to assist determination of daily dietary requirements of energy, protein and water has potential for preventing malnutrition and obesity. To get the solution we are preparing intelligent system using artificial neural networks through which daily nutritional requirement are to be given to people.
Keywords :
health care; medical computing; neural nets; ANN; artificial neural networks; automated computer-based technique; daily dietary requirements; daily nutritional requirement; health care; intelligent machine; malnutrition prevention; nutritional management; obesity prevention; Artificial neural networks; Communications technology; Databases; Obesity; Pediatrics; Proteins; Artificial Neural network; Malnutrition; Recommended Diet Chart;
Conference_Titel :
Computing Communication Control and Automation (ICCUBEA), 2015 International Conference on
Conference_Location :
Pune
DOI :
10.1109/ICCUBEA.2015.178
