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. Language: English