Prediction of anorexic person from “thin” or “ dieting” patient via neural network: BPNN Detecting Anorexia

Anorexia nervosa is a quiet dangerous disease that detected in an early stage may save the patient life and flushes his veins with “passion-red blood” pumping happiness and hope with every heartbeat. A study based on back propagation neural network giving machines the ability to mimic the human function to detect a “haunted person by anorexia “ from a person obsessed by “looking “wow” as a model under spot lights”. This study was based on the assessment of several factors including the concentration of several defined ions: zinc, iron, magnesium, calcium, copper and manganese (Zn, Fe, Mg, Cu, Ca, and Mn). Alteration in these ions concentration may lead to deficiency or toxicity leading to severe disease including anorexia. The intake of these ions may be appropriately pioneered by healthy diet food that is eradicated in anorexia disorder. Other factors playing a crucial role in developing this “ghost-eating disorder” are gender and age. A predictive BPNN system was developed based on these factors to help predicting an anorexic person in early stage to deter him from barring himself into his grave.