CADIAG-II is a functioning experimental fuzzy expert system for computer-assisted differential diagnosis in internal medicine. To overcome the current limitations of the system, we propose an extension based on bilattices. The proposed changes were implemented and reviewed in a retrospective evaluation of 3,131 patients with extended information about patient’s medical history, physical examination, laboratory test results, clinical investigations and—last but not least—clinically confirmed discharge diagnoses.

Bilattice CADIAG-II: Theory and Experimental Results / P. Baldi, A. Ciabattoni, K.-. Adlassnig (STUDIES IN COMPUTATIONAL INTELLIGENCE). - In: Soft Computing: Biomedical and Related Applications / [a cura di] N.H. Phuong, V. Kreinovich. - [s.l] : Springer Science and Business Media Deutschland GmbH, 2021 Jun. - ISBN 978-3-030-76619-1. - pp. 3-20 (( Intervento presentato al 2. convegno International Conference on Artificial Intelligence and Computational Intelligence tenutosi a Hanoi nel 2021 [10.1007/978-3-030-76620-7_1].

Bilattice CADIAG-II: Theory and Experimental Results

P. Baldi
Primo
;
2021

Abstract

CADIAG-II is a functioning experimental fuzzy expert system for computer-assisted differential diagnosis in internal medicine. To overcome the current limitations of the system, we propose an extension based on bilattices. The proposed changes were implemented and reviewed in a retrospective evaluation of 3,131 patients with extended information about patient’s medical history, physical examination, laboratory test results, clinical investigations and—last but not least—clinically confirmed discharge diagnoses.
Settore INF/01 - Informatica
Settore M-FIL/02 - Logica e Filosofia della Scienza
Settore MAT/01 - Logica Matematica
giu-2021
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/917265
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