Handbook Of Optimization In Medicine

Handbook of Optimization in Medicine is devoted to examining the dramatic increase in the application of effective optimization techniques to the delivery of health care. The articles, written by experts, focus on models and algorithms that have led to more efficient and sophisticated treatments of patients. Topics covered include: optimization in medical imaging, classification and data mining with medical applications, treatment of epilepsy and other brain disorders, treatment of head-and-neck, prostate, and other cancers using conventional conformal and intensity-modulated radiation therapy as well as proton therapy, treatment selection for breast cancer based on new classification schemes, optimization for the genome project, optimal timing of organ transplants.

Handbook of Optimization in Medicine is devoted to examining the dramatic increase in the application of effective optimization techniques to the delivery of health care. The articles, written by experts, focus on models and algorithms that have led to more efficient and sophisticated treatments of patients. Topics covered include: optimization in medical imaging, classification and data mining with medical applications, treatment of epilepsy and other brain disorders, treatment of head-and-neck, prostate, and other cancers using conventional conformal and intensity-modulated radiation therapy as well as proton therapy, treatment selection for breast cancer based on new classification schemes, optimization for the genome project, optimal timing of organ transplants.

Thanks to recent advancements, optimization is now recognized as a crucial component in research and decision-making across a number of fields. Through optimization, scientists have made tremendous advances in cancer treatment planning, disease control, and drug development, as well as in sequencing DNA, and identifying protein structures. Optimization in Medicine and Biology provides researchers with a comprehensive, single-source reference that will enable them to apply the very latest optimization techniques to their work. With contributions from pioneering international experts this volume integrates strong foundational theory, good modeling techniques, and efficient and robust algorithms with relevant applications Divided into two sections, the first begins with mathematical programming techniques for medical decision making processes and demonstrates their application to optimizing pediatric vaccine formularies, kidney paired donation, and the cost-effectiveness of HIV programs. It also presents recent advances in cancer treatment planning models and solution algorithms, including three-dimensional conventional conformal radiation therapy (3DCRT), intensity modulated radiation therapy (IMRT), tomotherapy, and proton therapy. Part two focuses on optimization in biology and discusses computational algorithms for genomic analysis; probe design and selection, properties of probes, and various algorithms and software packages to aid in probe selection and design. Subsequent chapters introduce a new dihedral angle measure for protein secondary prediction, and an optimization approach for tumor virotherapy with recombinant measles viruses. The editors include a short tutorial appendix on Integer Programming (IP). Highlighting the most recent advances in optimization techniques for solving complex problems in medical research, this book facilitates strong collaborative environments among optimization researchers and medical professionals for future medical research.

Nature-inspired computation is an interdisciplinary topic area that connects the natural sciences to computer science. Since natural computing is utilized in a variety of disciplines, it is imperative to research its capabilities in solving optimization issues. The Handbook of Research on Natural Computing for Optimization Problems discusses nascent optimization procedures in nature-inspired computation and the innovative tools and techniques being utilized in the field. Highlighting empirical research and best practices concerning various optimization issues, this publication is a comprehensive reference for researchers, academicians, students, scientists, and technology developers interested in a multidisciplinary perspective on natural computational systems.

This volume provides updated, in-depth material on the application of intelligent optimization in biology and medicine. The aim of the book is to present solutions to the challenges and problems facing biology and medicine applications. This Volume comprises of 13 chapters, including an overview chapter, providing an up-to-date and state-of-the research on the application of intelligent optimization for bioinformatics applications, DNA based Steganography, a modified Particle Swarm Optimization Algorithm for Solving Capacitated Maximal Covering Location Problem in Healthcare Systems, Optimization Methods for Medical Image Super Resolution Reconstruction and breast cancer classification. Moreover, some chapters that describe several bio-inspired approaches in MEDLINE Text Mining, DNA-Binding Proteins and Classes, Optimized Tumor Breast Cancer Classification using Combining Random Subspace and Static Classifiers Selection Paradigms, and Dental Image Registration. The book will be a useful compendium for a broad range of readers—from students of undergraduate to postgraduate levels and also for researchers, professionals, etc.—who wish to enrich their knowledge on Intelligent Optimization in Biology and Medicine and applications with one single book.

This work complements the Oxford Textbook of Palliative Medicine and The Handbook of Psychooncology. Topics include the role of psychiatry in terminal care, diagnosis and management of depression, suicide in the terminally ill, pain management, the nature of suffering in terminal illness, and psychotherapeutic interventions. The book also takes into consideration new directions for psychosocial palliative care research.

This issue of Sleep Medicine Clinics has been compiled by esteemed Consulting Editor, Teofilo Lee-Chiong, and brings together recent sleep medicine articles that will be useful for Primary Care Providers. Topics include: Internet-Delivered Cognitive Behavioral Therapy for Insomnia Tailoring Cognitive Behavioral Therapy for Insomnia for Patients with Chronic Insomnia; Prescription Drugs Used in Insomnia; Hypnotic Discontinuation in Chronic Insomnia; Evaluation of the Sleepy Patient Differential Diagnosis; Subjective and Objective Assessment of Hypersomnolence; Pharmacologic Management of Excessive Daytime Sleepiness; Nonpharmacologic Management of Excessive Daytime Sleepiness; Treatment of Obstructive Sleep Apnea Choosing the Best Positive Airway Pressure Device; Treatment of Obstructive Sleep Apnea Choosing the Best Interface; Treatment of Obstructive Sleep Apnea Achieving Adherence to Positive Airway Pressure Treatment and Dealing with Complications; Oral Appliances in the Management of Obstructive Sleep Apnea; Avoiding and Managing Oral Appliance Therapy Side Effects; Positional Therapy for Positional Obstructive Sleep Apnea; Pharmacologic and Nonpharmacologic Treatment of Restless Legs Syndrome; Drugs Used in Parasomnia; Drugs Used in Circadian Sleep-Wake Rhythm Disturbances; Sleep in the Aging Population; and Sleep, Health, and Society.

This book brings together the best thinking from both sides of the Atlantic to explore the issues surrounding soaring health care costs. It employs disciplinary perspectives from economics, ethics, philosophy, psychology, clinical practice, and epidemiology to explore various ways that value for patients have and can be determined. A major section of the book discusses problems that can reduce the value to patients of medical care. The volume is must read for practitioners, policy makers, and researchers who want to find in one place the state-of-the-art thinking and future directions of valuing medical care from the patient’s perspective.