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Bilgisayar Mühendisliği Bölümü Tezleri

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/58

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Browsing Bilgisayar Mühendisliği Bölümü Tezleri by Author "Akıllı, Yücel"

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    Master Thesis
    Medical diagnosis via artificial intelligence
    (2003) Akıllı, Yücel
    Although machine learning may induce reliable diagnostic algorithms from the limited description of the patient, such diagnostic tools definitely cannot, and also are not intended to, replace the physicians, but should rather be considered as helpful tools that can improve the physicians' performance. The results in this study and from other experiments convincingly demonstrate that the physicians' diagnostic accuracy should be possible to improve with the aid of machine learning. When applying a machine learning system in medical diagnosis there are several specific requirements that the system must meet. This study several issues related to the use of machine learning in medical diagnosis and prognosis problems. In this study, we see a system for medical diagnosis by learning Bayesian networks and rules. Prababilities between disease and sempthoms are used. The Bayesian networks can provide an overall structure of the relationships among the attributes. The rules can capture detailed and interesting patterns in the database. The system is applied to real-life medical databases.