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Traumatic brain injury (TBI) is a major cause of death and disability and one of the greatest unmet needs in medicine and public health. TBI not only has devastating effects on patients and their relatives but results in huge direct and indirect costs to society. Although guidelines for the management of patients have been developed and more than 200 clinical trials have been conducted, they have resulted in few improvements in clinical outcomes and no effective therapies approved for TBI. It is now apparent that the heterogeneity of clinical TBI is underlain by molecular phenotypes more complex and interactive than initially conceived and current approaches to the characterization, manageme...
The first edition of conflict and catastrophe was produced in 2002 and a second, successful edition, followed in 2009. The decision to produce these works sprung from painful problems experienced by colleagues and authors themselves during many humanitarian and related deployments. The guide for both editions was to provide, in one volume, an entry level text covering all aspects of deployment, with an emphasis on medicine and healthcare in these environments. This third revised, expanded and updated edition of Conflict and Catastrophe Medicine: A Practical Guide follows its successful predecessors in providing a framework for use by health professionals visiting a resource constrained envir...
Tampa Bay Magazine is the area's lifestyle magazine. For over 25 years it has been featuring the places, people and pleasures of Tampa Bay Florida, that includes Tampa, Clearwater and St. Petersburg. You won't know Tampa Bay until you read Tampa Bay Magazine.
The second edition of this volume provides insight and practical illustrations on how modern statistical concepts and regression methods can be applied in medical prediction problems, including diagnostic and prognostic outcomes. Many advances have been made in statistical approaches towards outcome prediction, but a sensible strategy is needed for model development, validation, and updating, such that prediction models can better support medical practice. There is an increasing need for personalized evidence-based medicine that uses an individualized approach to medical decision-making. In this Big Data era, there is expanded access to large volumes of routinely collected data and an increa...
A 'how-to' book for medical aid workers - doctors, nurses and paramedics - working in hostile environments (natural disasters, man-made disasters, conflict in all its forms and remote or austere industrial settings). This manual provides information on what is going on, how to get involved, how to get ready, guidance on what to do out there, and how to get home bridging the fields of medicine, nursing international relations, politics, economics and history.
Machine learning has proved a powerful tool for artificial intelligence and data mining problems. However, its success has usually relied on having a good feature representation of the data, and having a poor representation can severely limit the performance of learning algorithms. These feature representations are often hand-designed, require significant amounts of domain knowledge and human labor, and do not generalize well to new domains. To address these issues, I will present machine learning algorithms that can automatically learn good feature representations from unlabeled data in various domains, such as images, audio, text, and robotic sensors. Specifically, I will first describe ho...
This handbook is aimed at first-line health care providers involved in the perioperative care of adult and pediatric neurosurgical patients. It is unique in its systematic focus on how to deal with common and important clinical challenges encountered in day-to-day practice in the OR, the PACU, and the ICU and is designed as a problem-solving tool for all members of the perioperative medicine team: trainees and faculty in anesthesiology, neurosurgery, and critical care; nurses; nurse anesthetists; and physician’s assistants. • Encompasses clinical continuum from neurosurgical pre-op to critical care – plus anesthesia in neuroradiology • Adult and pediatric care • Structured algorithmic approach supports clinical decision-making • Succinct presentation of clinically relevant basic science • End-of-chapter summaries, with suggestions for further reading • Collaborative approach and multidisciplinary nature of perioperative medicine emphasized • Extensive summary tables • Portable and formatted for quick retrieval of information • Ideal for use in the OR, the PACU, and the ICU