Internal Medicine: Endocrinology; S.J. Yeung, J.R. Hubbard. Cardiology; M. Fuller, J.R. Hubbard. Hematology and Oncology; R. Jain, D.D. Short. Infectious Disease; C.J. Schleupner. Gastroenterology and Hepatology; C.M. Yoshida, J.R. Hubbard. Pulmonology; M. Fuller, J.R. Hubbard. Rheumatology; J. Pendleton, D.D. Short. Dermatology; C.R. Martins, J.R. Hubbard. Nephrology; D. Robinson, J.R. Hubbard. Psychiatric Aspects of Neurology; B. Price, A. Bar-Or. Alcohol and Other Substances of Abuse; J.R. Hubbard, et al. Chornic Pain; E.A. Workman, J.R. Hubbard. Surgical Problems; J. Savas, J.R. Hubbard. Pediatrics; B. Kauffman, D.D. Short. Preventive Health Care; B. Felker. Emergency Psychiatry; R. Albanese, J.R. Hubbard. `On-Call'; B. Felker, J.R. Hubbard. Index.

Psychological stress is often overlooked by medical doctors as a major factor in physiologically based illness; however, clinical studies show that stress has a vital impact on both the mental and physical well-being of patients. Handbook of Stress Medicine: An Organ System Approach focuses on the relationship between stress and the physiology and pathology of the major organ systems of the body. It suggests that understanding how stress impacts on illnesses can help hold down medical costs through more accurate diagnoses and promote improved preventative care. Section I offers a general background on stress as it relates to medicine and the difficulties in conducting stress-related research. The primary focus of the text, how stress effects specific organ systems, is examined using scientific and clinical data in Section II. The third section addresses the impact of stress on important medical problems of current interest, such as AIDS, cancer, and substance abuse. It also discusses anxiety disorders. The next section covers topics related to stress, such as stress measurement, stress in the workplace, and the psychodynamics of stress. The final section explores the major pharmacological and non-pharmacological approaches to the treatment of stress and anxiety disorders. This book will assist physicians, psychologists, nurses, physical therapists, and other health care professionals recognize possible stress-related problems, educate their patients, and develop therapeutic strategies for reducing stress and stress-related illnesses.

Directly addressing the specific needs of psychiatrists and other mental health professionals, this pioneering book is a first response guide to medical, surgical, neurological, and special psychiatric problems that may be encountered in clinical practice. The text features both the expert contributions of medical specialists and the guidance of board-certified psychiatrists. Quick and practical, it may be searched either by specific diseases or symptoms. Internal medicine, neurology, chronic pain, surgery, pediatrics, and preventive health care are all addressed.

Inspired by the enthusiastic response of psychiatrists and psychiatric residents to the recently published Primary Care Medicine for Psychiatrists: A Practitioner's Guide, the current volume is a concise, first-source guide to help specialists and other healthcare providers (especially psychiatrists, OB/GYN, and cardiologists) treat many general medicine problems.
Each chapter has been reviewed by a specialist or doctor with particular interest in the area to assure the accuracy and timeliness of the material.
Primary Care Medicine for Specialists and Non-Specialists is written in a concise, note-like format, and is designed to be used rather than read.

Get the most out of the popular Java libraries and tools to perform efficient data analysis About This Book * Get your basics right for data analysis with Java and make sense of your data through effective visualizations. * Use various Java APIs and tools such as Rapidminer and WEKA for effective data analysis and machine learning. * This is your companion to understanding and implementing a solid data analysis solution using Java Who This Book Is For If you are a student or Java developer or a budding data scientist who wishes to learn the fundamentals of data analysis and learn to perform data analysis with Java, this book is for you. Some familiarity with elementary statistics and relational databases will be helpful but is not mandatory, to get the most out of this book. A firm understanding of Java is required. What You Will Learn * Develop Java programs that analyze data sets of nearly any size, including text * Implement important machine learning algorithms such as regression, classification, and clustering * Interface with and apply standard open source Java libraries and APIs to analyze and visualize data * Process data from both relational and non-relational databases and from time-series data * Employ Java tools to visualize data in various forms * Understand multimedia data analysis algorithms and implement them in Java. In Detail Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the aim of discovering useful information. Java is one of the most popular languages to perform your data analysis tasks. This book will help you learn the tools and techniques in Java to conduct data analysis without any hassle. After getting a quick overview of what data science is and the steps involved in the process, you'll learn the statistical data analysis techniques and implement them using the popular Java APIs and libraries. Through practical examples, you will also learn the machine learning concepts such as classification and regression. In the process, you'll familiarize yourself with tools such as Rapidminer and WEKA and see how these Java-based tools can be used effectively for analysis. You will also learn how to analyze text and other types of multimedia. Learn to work with relational, NoSQL, and time-series data. This book will also show you how you can utilize different Java-based libraries to create insightful and easy to understand plots and graphs. By the end of this book, you will have a solid understanding of the various data analysis techniques, and how to implement them using Java. Style and approach The book takes a very comprehensive approach to enhance your understanding of data analysis. Sufficient real-world examples and use cases are included to help you grasp the concepts quickly and apply them easily in your day-to-day work. Packed with clear, easy-to-follow examples, this book will turn you into an ace data analyst in no time.