Intelligent Data Analysis in Medicine and Pharmacology - Tapa blanda

Sinopsis

1. Intelligent Data Analysis in Medicine and Pharmacology: An Overview; N. Lavrac, et al. Part I: Data Abstraction. 2. Time-Oriented Analysis of High-Frequency Data in ICU Monitoring; S. Miksch, et al. 3. Context-Sensitive Temporal Abstraction of Clinical Data; Y. Shahar. 4. Temporal Abstraction of Medical Data: Deriving Periodicity; E.T. Keravnou. 5. Cooperative Intelligent Data Analysis: An Application to Diabetic Patients Management; R. Bellazzi, et al. 6. Ptah: A System for Supporting Nosocomial Infection Therapy; M. Bohanec, et al. Part II: Data Mining. 7. Prognosing the Survival Time of Patients with Anaplastic Thyroid Carcinoma Using Machine Learning; M. Kukar, et al. 8. Data Analysis of Patients with Severe Head Injury; I.A. Pilih, et al. 9. Dementia Screening with Machine Learning Methods; W.R. Shankle, et al. 10. Experiments with Machine Learning in the Prediction of Coronary Artery Disease Progression; B. Ster, et al. 11. Noise Elimination Applied to Early Diagnosis of Rheumatic Diseases; N. Lavrac, et al. 12. Diterpene Structure Elucidation from 13C NMR-Spectra with Machine Learning; S. Dzeroski, et al. 13. Using Inductive Logic Programming to Learn Rules that Identify Glaucomatous Eyes; F. Mizoguchi, et al. 14. Carcinogenesis Predictions Using Inductive Logic Programming; A. Srinivasan, et al. 15. Concept Discovery by Decision Table Decomposition and Its Application in Neurophysiology; B. Zupan, et al. 16. Classification of Human Brain Waves Using Self-Organizing Maps; U. Heuser, et al. 17. Applying a Neural Network to Prostate Cancer Survival Data; M.W. Kattan, et al. Index.

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