Optimization in Medicine and Biology

Herausgeber: Lim, Gino J.; Lee, Eva K.

• Gebundenes Buch

Produktbeschreibung

Integrating strong foundational theory, good modeling techniques, efficient algorithms, and relevant applications, this comprehensive, single-source reference highlights the most recent advances in optimization techniques for solving very complex problems in medical and biological research. It discusses mathematical programming techniques for medical decision-making processes and applies them to pediatric vaccine formularies, cancer treatment planning models, and the cost-effectiveness of HIV programs. The second part focuses on optimization in biology and discusses computational algorithms for genomic analysis; probe design and selection; and various algorithms and software packages to aid in probe selection and design. The appendix provides a short tutorial on Integer Programming (IP).

Produktdetails

• Verlag: Auerbach Publications
• Seitenzahl: 594
• Erscheinungstermin: 8. Januar 2008
• Englisch
• Abmessung: 240mm x 161mm x 36mm
• Gewicht: 1048g
• ISBN-13: 9780849305634
• ISBN-10: 0849305632
• Artikelnr.: 23821183

Autorenporträt

Gino J. Lim, Eva K. Lee

Inhaltsangabe

Medicine. Classification and Disease Prediction via Mathematical
Programming. Using Influence Diagrams in Cost Effectiveness Analysis for
Medical Decisions. Non-Bayesian Classification to Obtain High Quality
Clinical Decisions. Optimizing Pediatric Vaccine Formularies. .
Optimization Over Graphs for Kidney Paired Donation. Introduction to
Radiation Therapy Planning Optimization. Beam Orientation Optimization
Methods in Intensity Modulated Radiation Therapy Treatment Planning.
Multileaf collimator shape matrix decomposition. Optimal Planning for
Radiation Therapy. Biology. An Introduction to Systems Biology for
Mathematical Programmers. Algorithms for Genomics Analysis. Computational
Methods for Probe Design and Selection. An Implementation of Logical
Analysis of Data for Oligo Probe Selection. A New Dihedral Angle Measure
for Protein Secondary Prediction. Optimization of Tumor Virotherapy with
Recombinant Measles Viruses. Combating Microbial Resistance to
Antimicrobial Agents through Dosing Regimen Optimization. Appendix.