TY  - JOUR
AB  - A learning algorithm called CLILP2 (Cover Learning Using Integer Linear Programming) is applied to medical data to generate rules to recognize patients with coronary artery disease. The algorithm partitions a data set into subsets using features which best describe and distinguish a particular subset from all other subsets. These features are used to form the rules which can be used as the knowledge base of a diagnostic expert system. Results from the application of the algorithm to coronary artery stenosis data are compared with the results obtained from the existing expert system.
VL  - 22
IS  - 5
SN  - 0368-492X
DO  - 10.1108/eb005985
UR  - https://doi.org/10.1108/eb005985
AU  - Cios Krzysztof J.
AU  - Liu Ning
AU  - Goodenday Lucy S.
PY  - 1993
Y1  - 1993/01/01
TI  - Generation of Diagnostic Rules via Inductive Machine Learning
T2  - Kybernetes
PB  - MCB UP Ltd
SP  - 44
EP  - 56
Y2  - 2024/04/25
ER  -