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ORCIDArtificial Intelligence in Medicine, Volume 16
Volume 16, Number 1, May 1999
- Nada Lavrac:
Selected techniques for data mining in medicine. 3-23 - Matjaz Kukar, Igor Kononenko, Ciril Groselj, Katarina Kralj, Jure Fettich:
Analysing and improving the diagnosis of ischaemic heart disease with machine learning. 25-50 - Subramani Mani, William Rodman Shankle, Malcolm B. Dick, Michael J. Pazzani:
Two-Stage Machine Learning model for guideline development. 51-71 - Po Shun Ngan, Man Leung Wong, Wai Lam, Kwong-Sak Leung, Jack Chun Yiu Cheng
:
Medical data mining using evolutionary computation. 73-96 - David McSherry:
Dynamic and static approaches to clinical data mining. 97-115
Volume 16, Number 2, June 1999
- Ludmila Kuncheva, Friedrich Steimann:
Fuzzy diagnosis. 121-128 - Francesco Masulli, Andrea Schenone:
A fuzzy clustering based segmentation system as support to diagnosis in medical imaging. 129-147 - Detlef D. Nauck, Rudolf Kruse:
Obtaining interpretable fuzzy classification rules from medical data. 149-169 - Nicolino J. Pizzi:
Fuzzy pre-processing of gold standards as applied to biomedical spectra classification. 171-182 - Andrew Lowe, Michael J. Harrison, Richard W. Jones:
Diagnostic monitoring in anaesthesia using fuzzy trend templates for matching temporal patterns. 183-199
Volume 16, Number 3, July 1999
- Chris D. Nugent, J. A. C. Webb, Norman D. Black, G. T. H. Wright, M. McIntyre:
An intelligent framework for the classification of the 12-lead ECG. 205-222 - Giordano Lanzola, Luca Gatti, Sabina Falasconi, Mario Stefanelli:
A framework for building cooperative software agents in medical applications. 223-249 - Arnoud Van Der Maas, Arthur H. M. ter Hofstede, Pieter de Vries Robbé:
Formal description of temporal knowledge in case reports. 251-282 - Heinz Handels, Thomas Roß, Jürgen Kreusch, Helmut H. Wolff, Siegfried J. Pöppl:
Feature selection for optimized skin tumor recognition using genetic algorithms. 283-297 - Alvaro L. Ronco:
Use of artificial neural networks in modeling associations of discriminant factors: towards an intelligent selective breast cancer screening. 299-309
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