| ARTICLES | Am. J. innov. res. appl. sci. Volume 2,  Issue 4, Pages 155-168 (April 2016)

Research Article   A PROPOSED EXPERT SYSTEM FOR FOOT DISEASES DIAGNOSIS | Samy S. Abu Naser  | and |  Ali Osama Mahdi | American Journal of Innovative Research and Applied Sciences. 2016; 2(4):155-168.     | PDF FULL TEXT |          | Received | 15 March 2016 |          | Accepted | 1 April 2016 |         | Published  18 April  2016 |

ABSTRACT Background: Foot is a complicated structure with 26 bones, 33 joints, and lots of muscles, nerves, ligaments of different types. Any part of the foot might be affected. Several foot disorders might be present with just dull pain, but on the other hand the other foot disorders can be extremely severe and limit the capability to walk or tolerate weight. The largest part of minor cases of foot pain is treated at home with special care. When severe pain is encountered, it requires some kind of medical care. If appropriate treatment of foot pain is not taken quickly, it can lead to a damage in the foot. Objectives: The main goal in order to get the appropriate treatment is the correct diagnosis of disease. Methods: In this paper the design of the proposed Expert System which was produced to help Podiatric physician in diagnosing many of the foot diseases (Clubfoot, Intoeing, Stress Fracture, Foot or Ankle Fracture, Foot Sprain, Turf Toe, Flat feet, Plantar Fasciitis, Warts, Bunion, Rheumatoid Arthritis, Gout, Heel Spur, Athlete's Foot, Morton's Neuroma, Cellulitis, Frostbite, Gangrene) are presented, an overview about the foot diseases are displayed, the cause of diseases are outlined and the treatment of disease whenever possible is given. SL5 Object Expert System language is used for designing and implementing the proposed expert system. Results: The expert system was evaluated by Medical students and they were satisfied with its performance. Conclusions: The Proposed expert system is useful for Podiatric physician, patients with foot problem and newly graduated physician. Keywords: Artificial Intelligence, Expert Systems, SL5 Object, Foot diseases, Language. ARCH