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Engineering - Computational Intelligence and Complexity | Knowledge-Based Systems in Biomedicine and Computational Life Science

Knowledge-Based Systems in Biomedicine and Computational Life Science

Pham, Tuan D., Jain, Lakhmi C. (Eds.)

2013, XII, 216 p.

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  • 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

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

 

Content Level » Research

Keywords » Biomedicine - Computational Intelligence - Knowledge-based Systems - Systems Biology

Related subjects » Artificial Intelligence - Computational Intelligence and Complexity

Table of contents 

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.

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