Knowledge-Based Systems in Biomedicine and Computational Life Science
Editat de Tuan D. Pham, Lakhmi C. Jainen Limba Engleză Hardback – 14 dec 2012
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Specificații
ISBN-13: 9783642330148
ISBN-10: 3642330142
Pagini: 228
Ilustrații: XII, 216 p.
Dimensiuni: 160 x 241 x 17 mm
Greutate: 0.51 kg
Ediția:2013
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642330142
Pagini: 228
Ilustrații: XII, 216 p.
Dimensiuni: 160 x 241 x 17 mm
Greutate: 0.51 kg
Ediția:2013
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Physiological Sensor Signals Analysis to Represent Cases in a Case-based Diagnostic System.- Breast Cancer Histological Image Classification with Multiple Features and Random Subspace Classifier Ensemble.- Image Processing and Reconstruction of Cultured Neuron Skeletons.- Protein Structure Prediction: Are we there yet? .- Text Mining for Neuroscience: A Co-Morbidity Case Study.- Robust algorithmic detection of cardiac pathologies from short periods of RR data.- Studies on Five Senses Treatment.- Fuzzy Knowledge-based Subspace Clustering for Life Science Data Analysis.
Textul de pe ultima copertă
This book presents a sample of research on knowledge-based systems in biomedicine and computational life science. The contributions include:
· personalized stress diagnosis system
· image analysis system for breast cancer diagnosis
· analysis of neuronal cell images
· structure prediction of protein
· relationship between two mental disorders
· detection of cardiac abnormalities
· holistic medicine based treatment
· analysis of life-science data
· personalized stress diagnosis system
· image analysis system for breast cancer diagnosis
· analysis of neuronal cell images
· structure prediction of protein
· relationship between two mental disorders
· detection of cardiac abnormalities
· holistic medicine based treatment
· analysis of life-science data
Caracteristici
Latest research in Knowledge-based Systems in Biomedicine Bridges the gap between hypothesis-driven and data-driven problem solving in medicine and biology Written by leading experts in the field