Knowledge-Based Systems in Biomedicine and Computational Life Science

This book reviews research on knowledge-based systems in biomedicine and computational life science, including such topics as personalized stress diagnosis system; image analysis system for breast cancer diagnosis; analysis of neuronal cell images and more.

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 and analysis of life-science data.

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

Contenu
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.