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Titlebook: Medical Data Analysis; Second International Jose Crespo,Victor Maojo,Fernando Martin Conference proceedings 2001 Springer-Verlag Berlin Hei

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A Computational Environment for Medical Diagnosis Support Systems, reliable. As data collection technologies advance, a plethora of data is available in almost all domains of one.s lives, being of particular interest to this work that of .. Indeed, . (IDS) with built-in functions for knowledge discovery or data mining, concerning with extracting and abstracting us
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,Secure and Interoperable Document Management over the Internet — The Generic HARP Cross-Security Pl systems is highly sensitive and must be recorded, processed, stored and communicated in a trustworthy way. Such documentation and information systems might establish comprehensive Electronic Health Care Record (EHCR) systems or partial aggregation of such data as done, e.g., in the context of clini
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Quasi-Fourier Modeling Individual and Count Outcomes,ollution. The model is built under assumption that any health outcome belongs to multivariate hierarchical system and depends on meteorology, pollution, geophysical and socio-cultural variables in it. The possible connections in this system are considered and mathematically formalized by means of tr
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Predicting the Level of Metabolic Control Using Collaborative Filtering,prognosis of the longterm metabolic control level in diabetic patients. The underlying data for the prediction were extracted from a central diabetic data pool (DPVSCIENT) [1],[2], containing longtime documentation of about 60% of all young patients with type-1 diabetes in Germany. Prediction result
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