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by Igor Mozetic,Nada Lavac,Ivan Bratko

Author: Igor Mozetic,Nada Lavac,Ivan Bratko
Subcategory: Medicine
Language: English
Publisher: The MIT Press; Revised ed. edition (November 24, 1989)
Pages: 278 pages
Category: Medicine
Rating: 4.2
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Kardio's performance is estimated by cardiologists to be equivalent to that of a specialist of internal medicine (not a cardiologist) who is highly skilled in the reading of ECG recordings, and it can be used as a diagnostic tool in ECG interpretation. It may also be used for instruction in electrocardiography. The authors show how the model was compiled, by means of qualitative simulation and machine learning tools, into various representations that are suited for particular expert tasks.

Kardio's performance is estimated by cardiologists to be equivalent to that of a specialist of internal medicine (not a cardiologist) who is highly skilled in the reading of ECG recordings, and it can be used as a diagnostic tool in ECG interpretation.

It shows how the qualitative modeling approach. Kardio: A Study in Deep and Qualitative Knowledge for Expert Systems Hardcover – November 24, 1989. by. Ivan Bratko (Author). Find all the books, read about the author, and more. Are you an author? Learn about Author Central. Ivan Bratko (Author), Igor Mozetic (Author), Nada Lavac (Author) & 0 more.

It shows how the qualitative modeling approach, using logic based representations and machine learning techniques, can be used to construct knowledge bases whose complexity is far beyond the capability of traditional, dialogue based techniques of knowledge acquisition. The relevant techniques are demonstrated in full detail in the building of Kardio, a medical expert system model of the human heart designed for the diagnosis of cardiac arrhythmias.

KARDIO (Computer file). Personal Name: Mozetic?, Igor. Personal Name: Lavrac?, Nada. "Supported by National Science nn Shafer.

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Ivan Bratko, Igor Mozetic, Nada Lavrac. It shows how the qualitative modeling approach, using logic based representations and machine learning techniques, can be used to construct knowledge bases whose complexity is far beyond the capability of traditional, dialogue based techniques of knowledge acquisition. The relevant techniques are demonstrated in full detail in the building of Kardio, a.

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Brat89) I. Bratko, I. Mozetic, N. Lavrac, " KARDIO: A Study in Deep and Qualitative Knowledge for Expert Systems . A general purpose learning system for electrocardiogram (EGG) diagnosis expert systems (DESs) is presented here

Brat89) I. Lavrac, " KARDIO: A Study in Deep and Qualitative Knowledge for Expert Systems ", Cambridge, Massachusetts: MIT Press, 1989. A general purpose learning system for electrocardiogram (EGG) diagnosis expert systems (DESs) is presented here. The main functions of the proposed system are the following: (a) It reads the knowledge base (KB) of the DES and constructs the appropriate database (DB) scheme

This book is the first detailed account of the development of a complex and successful expert system based on deep and qualitative knowledge. It shows how the qualitative modeling approach, using logic based representations and machine learning techniques, can be used to construct knowledge bases whose complexity is far beyond the capability of traditional, dialogue based techniques of knowledge acquisition. The relevant techniques are demonstrated in full detail in the building of Kardio, a medical expert system model of the human heart designed for the diagnosis of cardiac arrhythmias. Kardio's performance is estimated by cardiologists to be equivalent to that of a specialist of internal medicine (not a cardiologist) who is highly skilled in the reading of ECG recordings, and it can be used as a diagnostic tool in ECG interpretation. It may also be used for instruction in electrocardiography. The authors show how the model was compiled, by means of qualitative simulation and machine learning tools, into various representations that are suited for particular expert tasks. They investigate a hierarchical organization of a qualitative model and outline an experiment whereby the construction of a deep model is automated by means of machine learning techniques. The book contains a complete model of the electrical system of the heart that can be used to further development in this area of applications. Ivan Bratko, author of Prolog Programming for Artificial Intelligence, is a professor of computer science at E. Kardelj University and leads the AI laboratory at the Jozef Stefan Institute in Ljubljana, Yugoslavia. Igor Mozetic and Nada Lavrac are researchers at the institute.