| ARTICLES | Am. J. innov. res. appl. sci. Volume 2,  Issue4 , Pages 181-192 (April 2016)

Research Article   MALE INFERTILITY EXPERT SYSTEM DIAGNOSES AND TREATMENT     | Samy Salim Abu Naser | and | Mohammed Ibrahim Alhabbash |. American Journal of Innovative Research and Applied Sciences. 2016; 2(4):181-192.               | PDF FULL TEXT |      | Received | 18 March 2016 |          | Accepted | 1 April 2016 |         | Published 19 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 damage in the foot. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment. 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 such as : Clubfoot, In toeing, 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, and Gangrene. The proposed expert system presents an overview about foot diseases are given, the cause of diseases are outlined and the treatment of disease whenever possible is given out. SL5 Object Expert System language was used for designing and implementing the proposed expert system. Results: The proposed foot diseases diagnosis expert system was evaluated by Medical students and they were satisfied with its performance. Conclusions: The Proposed expert system is very useful for Podiatric physician, patients with foot problem and newly graduated physician. Keywords: Artificial Intelligence, Expert Systems, SL5 Object, Foot diseases, Language.