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Expert system (examples)

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Some Examples of Expert Systems

Some Examples of Expert Systems

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  • 1. University of Education, Okara Campus 1
  • 2. •In 1965 DENDRAL was used in expert system •MYCIN was developed in 1976 University of Education, Okara Campus 2
  • 3. WHY MYCIN  Disease diagnosis and therapy selection  Advise for non expert physicians with time consideration and incomplete evidence as  Bacterial infections of the blood  Extended to other elements University of Education, Okara Campus 3
  • 4. PROBLEM BEFORE MYCIN • ROBERTS AND VISCONTI:- Only 13% patients are treated rationally  66% are being given irrational treatment  21% are being given questionable treatment • IRRATIONAL MEANS, FOR EXAMPLE:-  Using a contra-indicated combination Using the wrong agent for a specific organisms  Not taking the required culture University of Education, Okara Campus 4
  • 5. DEVELOPMENT OF MYCIN • Developed by ADWARD SHORTLIFFE in 1976 a STANFORD UNIVERSITY in the artificial intelligence in medicine group • First system that was implemented into the medical field University of Education, Okara Campus 5
  • 6. HOW MYCIN WAS TESTED FOR ACCURACY • 10 patients for a particular disease were chosen • Their information was sent to 8 physicians and MYCIN • All then came up with recommended treatment • Those recommendations along with what the patient actually received as treatment was sent to 8 unidentified specialists University of Education, Okara Campus 6
  • 7. WHO WON FROM THE TEST • MYCIN won the test • MYCIN received the highest score as for as accuracy and effectiveness of diagnosis University of Education, Okara Campus 7
  • 8. STAGES IN DAIGNOSIS AND TREATMENT • Decide if there is significant infection • Identify the causing organism(s) by clinical and laboratory evidence • Decide what antibiotic agent the organisms are sensitive to • Prescribe the optimal drug combination for particular case University of Education, Okara Campus 8
  • 9. RESULTS  Never implemented for routine clinical use  Shown to be competent by panels of experts even in case where experts themselves disagreed on conclusions  Key contributions  Reuse of production rules( expansion knowledge aquision ) University of Education, Okara Campus 9
  • 10. PROBLEMS • If the system gives an incorrect diagnosis, who is to be blamed or sued • Physicians rely to heavily on system instead of consulting other experts University of Education, Okara Campus 10
  • 11. Resources  Wikipedia Page  Available at: http://en.wikipedia.org/wiki/Expert_system  Building Expert Systems in Prolog  Available at: http://www.amzi.com/ExpertSystemsInProlog/xsipfrtop.htm  Artificial Intelligence - A modern Approach by Stuart Rassell, Peter Norvig  PC AI – Expert Systems  Available at: http://www.pcai.com/web/ai_info/expert_systems.html  VisiRule Web Demos (A simple example): http://www.lpa.co.uk/vrs_dem.htm University of Education, Okara Campus 11

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