By Shahina Begum, Mobyen Uddin Ahmed (auth.), Tuan D. Pham, Lakhmi C. Jain (eds.)

ISBN-10: 3642330142

ISBN-13: 9783642330148

ISBN-10: 3642330150

ISBN-13: 9783642330155

This ebook provides a pattern of study on knowledge-based platforms in biomedicine and computational existence technology. The contributions comprise: customized pressure prognosis approach, photo research process for breast melanoma prognosis, research of neuronal mobile pictures, constitution prediction of protein, courting among psychological issues, detection of cardiac abnormalities, holistic medication established remedy and research of life-science data.

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Additional resources for Knowledge-Based Systems in Biomedicine and Computational Life Science

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Maintaining Organization in a Dynamic Long-Term Memory. Cognitive Science 7(4), 243–280 (1983a) 33. : Reconstructive Memory: A Computer Model. Cognitive Science 7(4), 281–328 (1983b) 34. : Using experience in learning and problem solving. D. Thesis MIT/LCS/TR-441 (1989) 35. : A Computer Model of Case-Based Reasoning in Problem Solving: An Investigation in the Domain of Dispute Mediation. Technical Report GIT-ICS-85/18, Georgia Institute of Technology, School of Information and Computer Science, Atlanta USA (1985) 1 Physiological Sensor Signals Analysis to Represent Cases 25 36.

The system could support clinical and non-clinical users to diagnose their stress level and thereby improve individual health care. References 1. : Case-Based Reasoning Systems in the Health Sciences: A Survey on Recent Trends and Developments. IEEE Transactions on Systems, Man, and Cybernetics–Part C: Applications an Reviews 41(4), 421–434 (2011) 2. : A Multi-Module Case Based Biofeedback System for Stress Treatment. Artificial Intelligence in Medicine 51(2), 107–115 (2011) 3. : The Stress of Life.

Yu et al. images of very low quality, where major problems include variable background intensity due to nonuniform illumination, low local contrast due to smear or smudge, and shadows. These potential problems are apparent in the typical series of images shown in Fig. 2, which were obtained of a live, unstained, cultured neuron exposed over a period of 3 hours to the oxidant hydrogen peroxide. (1) T=5 min (2) T=180 min Fig. 2. Images obtained from monitoring a live, unstained, neuron in culture exposed to 350 µM H2 O2 at the times indicated Threshold is determined from the measure that best separates the peak levels of the histogram, each of which corresponds to image pixels of a different part of the image, such as background or object.

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Knowledge-Based Systems in Biomedicine and Computational Life Science by Shahina Begum, Mobyen Uddin Ahmed (auth.), Tuan D. Pham, Lakhmi C. Jain (eds.)

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