1 Intelligent data analysis in medicine and pharmacology: An overview.- 1 Intelligent data analysis in medicine and pharmacology: An overview.- I Data Abstraction.- 2 Time-oriented analysis of high-frequency data in ICU monitoring.- 3 Context-sensitive temporal abstraction of clinical data.- 4 Temporal abstraction of medical data: Deriving periodicity.- 5 Cooperative intelligent data analysis: An application to diabetic patients management.- 6 Ptah: A system for supporting nosocomial infection therapy.- II Data Mining.- 7 Prognosing the survival time of patients with anaplastic thyroid carcinoma using machine learning.- 8 Data analysis of patients with severe head injury.- 9 Dementia screening with machine learning methods.- 10 Experiments with machine learning in the prediction of coronary artery disease progression.- 11 Noise elimination applied to early diagnosis of rheumatic diseases.- 12 Diterpene structure elucidation from 13C NMR-spectra with machine learning.- 13 Using Inductive Logic Programming to learn rules that identify glaucomatous eyes.- 14 Carcinogenesis predictions using Inductive Logic Programming.- 15 Concept discovery by decision table decomposition and its application in neurophysiology.- 16 Classification of human brain waves using self-organizing maps.- 17 Applying a neural network to prostate cancer survival data.