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Titlebook: Bioinformatics and Biomedical Engineering; Third International Francisco Ortuño,Ignacio Rojas Conference proceedings 2015 Springer Interna

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A Flexible Denormalization Technique for Data Analysis above a Deeply-Structured Relational Databaseing a flat table from arbitrarily structured data. The denormalization process can be controlled by a small number of user-tunable parameters. Python and R/Bioconductor are used for any subsequent data processing steps, including visualization, and Weka is used for machine-learning above the generated data.
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Kenya and Britain after Independencerecorded with analyzes performed using different data sets and variables. Patient’s risk assessment can be assessed with such findings and treatments can be planned. Prediction of patients under high risk can provide opportunities for early intervention and mortality levels can be red.
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A Segmentation-Free Model for Heart Sound Feature Extractioncal diagnostic basis and medical knowledge much more. The presented model stems from timbre analysis model but is adapted for HS signal. The relevant theoretical analysis and simulation experiments indicate that the proposed method has good performance in HS analysis.
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