02316nam a22001457a 4500999001700000100007200017245005900089260003000148300001100178500180600189700005301995856003302048942001102081952007802092  c55962d55959  aLakho, Shamshad a11MSIT18aSupervisor - Dr. Akhtar Hussain Jalbani  aAn Intelligent System For Hepatitis Disease Diagnosis   aNawabshah:bQUEST,c2014.  a51p, :  aABSTRACT


Medical judgments are tough and challenging as the decisions are often based on deficient and ambiguous information.  Moreover the result of decision process has direct  effects  on  human  lives.  Act  of  human  decision  declines  in  emergency situations due to  complication,  time  limit  and high  risks.  Therefore, provision of medical diagnosis plays  a dynamic  role,  specifically  in preliminary  stage when  a physician has limited diagnosis experience and identifies the directions to be taken for the treatment process.  Computerized Decision Support Systems have brought a revolution	in	the	medical	diagnosis.	These	automatic	systems	support	the diagnosticians in  the  course  of  diagnosis.  The major role  of  Decision  Support Systems is to support the medical personnel in decision making procedures regarding disease diagnosis and treatment recommendation.
The proposed system  offers  an intelligent  Hepatitis  disease  diagnosis system  to provide ease and support in Hepatitis disease recognition. The system is developed using the probabilistic model Bayesian network. The physician provides the input to the system in the form of symptoms stated by patient. These signs and symptoms match with the casual relationships present in the knowledge model. The Bayesian network infers conclusion from the knowledge model and calculates the probability of occurrence  of Hepatitis  B,  C  and  D  disorders.  The  Bayesian  network  also classifies  the  categories  of  Hepatitis  disorder  and  ranked  them  based  on  the probability values. Consequently the particular category is diagnosed from which the patient is infected.	The results of the proposed system show prominent and could assist the physicians in the diagnosis process of hepatitis disease.

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  aDepartment Of Information Technology Engineering  uhttps://tinyurl.com/3fw3re4x  cTHESIS  00104070aRESEARCHbRESEARCHd2018-09-25pMP/22-220r2018-09-25yTHESIS