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Biocomputation and Biomedical Informatics Case Studies and Applications Premier Reference Source 1st Edition by Athina Lazakidou 9781605667683 1605667684

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Biocomputation and Biomedical Informatics Case Studies and Applications Premier Reference Source 1st Edition Athina Lazakidou Digital Instant Download

Author(s): Athina Lazakidou
ISBN(s): 9781605667683, 1605667684
Edition: 1
File Details: PDF, 7.09 MB
Year: 2009
Language: english
SKU: EB-1881854 Category: Tag:

Biocomputation and Biomedical Informatics Case Studies and Applications Premier Reference Source 1st Edition by Athina Lazakidou – Ebook PDF Instant Download/Delivery: 9781605667683, 1605667684

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Product details:

ISBN 10: 1605667684

ISBN 13: 9781605667683

Author: Athina Lazakidou

Recent improvements in healthcare delivery due to innovative technological advancements have redefined fields of biomedical science now allowing for enhanced information management, resource allocation, and quality assurance. Biocomputation and Biomedical Informatics: Case Studies and Applications provides a compendium of terms, definitions, and explanations of concepts, processes, and acronyms in this significant medical field of study. Featuring chapters authored by leading international experts, this unsurpassed collection provides a defining body of research indispensible to medical libraries, researchers, and institutions worldwide.

Table of contents:

  1. INTRODUCTION
  2. SINGLE CRYSTAL X-RAYCRYSTALLOGRAPHY:THE BASIC STEPS
  3. A SURVEY Of MACROMOLECULAR CRYSTALLOGRAPHY PROGRAMS IN WIDE USE
  4. CRYSTALLOGRAPHIC STUDY Of THE 2[4fE-4S] FERREDOXIN FROM ESCHERICHIA COLI
  5. REFERENCES
  6. KEY TERMS AND DEFINITIONS
  7. Describing Methodology andApplications of an In SilicoProtein Engineering Approach
  8. ABSTRACT
  9. ASPECTS Of PROTEINDE SIGN & ENGINEERING
  10. PROTEIN SCAFFOLDS
  11. METHODOLOGY OF COMPUTATIONAL PROTEIN MODIFICATION
  12. A CASE STUDY: SELECTING AND IMPLEMENTING MUTATIONS Of PARTICULAR RESIDUES Of THE HYDROPHOBIC LIGAND
  13. CONCLUSION
  14. REFERENCES
  15. KEY TERMS AND DEFINITIONS
  16. In Silico Biology:Making the Most of Parallel Computing
  17. ABSTRACT
  18. INTRODUCTION
  19. MODELLING COMPLEX SYSTEMS
  20. AGENT-BASED MODELS
  21. OPTIMAL PARALLEL IMPLEMENTATION
  22. CONCLUSION
  23. ACKNOWLEDGMENT
  24. REFERENCES
  25. KEY TERMS AND DEFINITIONS
  26. Computer Aided TissueEngineering from Modelingto Manufacturing
  27. ABSTRACT
  28. INTRODUCTION
  29. COMPUTER AIDED TISSUE MODELING
  30. COMPUTER AIDED SCAFFOLD MANUFACTURING
  31. CONCLUSION
  32. REFERENCES
  33. KEY TERMS AND DEFINITIONS
  34. Electronic Health Recordsin a Tele-OphthalmologicApplication with Oracle 10g
  35. ABSTRACT
  36. INTRODUCTION
  37. METHODS
  38. DISCUSSION AND CONCLUSIONS
  39. REfERENCES
  40. KEY TERMS AND DEFINITIONS
  41. High PerformanceComputing in Biomedicine
  42. ABSTRACT]
  43. INTRODUCTION
  44. BACKGROUND
  45. HIGH PERfORMANCE COMPUTING:COMPUTATIONAL AND DATA GRIDS
  46. BIOMEDICAL APPLICATIONS:CASES AND SCENARIOS IN GRIDS
  47. CONCLUSION
  48. REFERENCES
  49. Pervasive Healthcare Servicesand Technologies for MemoryLoss Diseases Support
  50. ABSTRACT
  51. INTRODUCTION
  52. DEFINITION Of MEMORY LOSS
  53. PERVASIVE HEALTHCARE:EXISTING DEVICES AND SYSTEMS
  54. PERVASIVE COMPUTING FORMEMORY LOSS PATIENTS
  55. BENEFITS FOR MEMORY LOSS PATIENTS
  56. CONCLUSION
  57. REFERENCES
  58. KEY TERMS AND DEFINITIONS
  59. Statistical Models inBioinformatics
  60. ABSTRACT
  61. INTRODUCTION
  62. METHODOLOGY IN BIOINFORMATICS
  63. STATISTICAL MODELING IN BIOINFORMATICS
  64. CONCLUSION
  65. REFERENCES
  66. Computational Analysisand Characterization ofMarfan Syndrome AssociatedHuman Proteins
  67. ABSTRACT
  68. INTRODUCTION
  69. MATERIALS AND METHODS
  70. RESULTS AND DISCUSSION
  71. CONCLUSION
  72. REFERENCES
  73. KEY TERMS AND DEFINITIONS
  74. ABBREVIATIONS
  75. A Modified High SpeedHopfield Neural Model forPerfect Calculation of MagneticResonance Spectroscopy
  76. ABSTRACT
  77. INTRODUCTION
  78. MATHEMATICAL MODEL OF THE NMR SIGNAL AND DETERMINATION Of SPECTRA
  79. MATHEMATICAL MODEL OF NMR SIGNAL
  80. NMR SPECTRA
  81. DETERMINATION OF NMR SPECTRA
  82. DESIGN Of MODIFIED HOPFIELD NEURAL NETWORK FORSPECTRAL ESTIMATION
  83. SIMULATION RESULTS AND DISCUSSION
  84. IMPLEMENTATION OF THE NETWORK
  85. DETERMINATION BY USING MODIFIED HOPFIELD NEURAL NETWORK
  86. DETERMINATION COMBINEDWITH MODIFIED SEQUENTIAL EXTENSION Of SECTION (MSES)
  87. ESTIMATION FOR THE SIGNAL WITH NOISE
  88. DISCUSSION
  89. CONCLUSION
  90. REFERENCES
  91. Advances in Biosensorsfor In Vitro Diagnostics
  92. ABSTRACT
  93. INTRODUCTION
  94. BIOSENSING TECHNIQUES AND EXAMPLES
  95. APPLICATIONS AND CASE EXAMPLES IN BIOMEDICINE
  96. CONCLUSION: THE FUTURE OF BIOSENSING
  97. REFERENCES
  98. KEY TERMS AND DEFINITIONS
  99. Image Processing Tools forBiomedical Infrared Imaging
  100. ABSTRACT
  101. INTRODUCTION
  102. THERMAL-VISUAL IMAGE OVERLAYS
  103. WARPING-BASED REGISTRATION OF THERMAL IMAGE SEQUENCES
  104. REGION Of INTEREST SEGMENTATION IN THERMOGRAMS
  105. IMAGE FEATURES FORAIDING DIAGNOSIS
  106. IMAGE FEATURES FOR DATABASE RETRIEVAL
  107. CONCLUSION
  108. REFERENCES
  109. KEY TERMS AND DEFINITIONS
  110. Image Analysis for ExudateDetection in Retinal Images
  111. ABSTRACT
  112. INTRODUCTION
  113. IMAGE PRE-PROCESSING
  114. VESSEL AND OPTICDISC DETECTION
  115. PRINCIPAL COMPONENT ANALYSIS
  116. NEURAL NETWORK
  117. RESULTS
  118. CONCLUSION
  119. REfERENCES
  120. Computer Aided RiskEstimation of Breast Cancer:The “Hippocrates-mst” Project
  121. ABSTRACT
  122. INTRODUCTION
  123. SYSTEM AND PROGRAM DESCRIPTION
  124. INTERFACE
  125. HARDWARE
  126. EVALUATION
  127. DISCUSSION
  128. REFERENCES
  129. KEY TERMS AND DEFINITIONS
  130. e-OpenDay:Open Virtual Environment forBiomedical Related Research,Business and Public Resources
  131. ABSTRACT
  132. INTRODUCTION
  133. E-OPENDAY SERVICES OFFERED
  134. PROJECT RESULTS AND MAIN ACHIEVEMENTS
  135. MARKET SURVEY AND BUSINESS PLAN
  136. OvERALL IMPACT AND DISSEMINATION Of RESULTS
  137. EXPLOITATION Of RESULTS
  138. CONCLUSION
  139. ACKNOWLEDGMENT
  140. REfERENCES
  141. KEY TERMS AND DEFINITIONS
  142. Modelling and Simulationin Biomedical Research
  143. ABSTRACT
  144. INTRODUCTION
  145. BRIEF OVERVIEW Of THE FIELD
  146. USE Of CFD IN THE MEDICAL FELD
  147. VIRTUAL MEDICAL IMAGES:TWO PARADIGMS
  148. CASE STUDIES
  149. SUMMARY AND FUTURE DIRECTIONS
  150. CONCLUSION
  151. ACKNOWLEDGMENT
  152. REfERENCES
  153. KEY TERMS AND DEFINITIONS
  154. ENDNOTES
  155. Explorative Data Analysis ofIn-Vitro Neuronal NetworkBehavior Based on anUnsupervised Learning Appro
  156. ABSTRACT
  157. INTRODUCTION
  158. BACKGROUND
  159. DATA ANALYSIS Of IN-VITRO NEURONAL NETWORK ACTIVITY
  160. REFERENCES
  161. KEY TERMS AND THEIR DEFINITION
  162. Ubiquitous Healthcare
  163. ABSTRACT
  164. UBIQUITOUS COMPUTING
  165. UBIQUITOUS COMPUTING IN HEALTHCARE
  166. CONTEXT-AWARENESS IN HEALTHCARE
  167. CONTEXT-AWARE SYSTEM OVERVIEW
  168. CONTEXT-AWARE SERVICES
  169. DISCUSSION AND CONCLUDED REMARKS
  170. REFERENCES
  171. E-Health ProjectImplementation:Privacy and Security Measures and Policies
  172. ABSTRACT
  173. INTRODUCTION
  174. PRIVACY AND SECUREINFORMATION EXCHANGE
  175. PSEUDONYMISATION TECHNIQUES
  176. CONCLUSION
  177. REFERENCES
  178. KEY TERMS AND DEFINITIONS
  179. Compilation of References
  180. About the Contributors

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Tags: Athina Lazakidou, Biocomputation, Biomedical, Informatics