Amid ongoing shifts in the world economic and political order, the promise for future public health is tenuous. Will today's economic systems sustain tomorrow's health? Will future generations inherit fair access to health and health care? An important hope for the health of future generations is the establishment of a well-grounded, global public health system. Global Public Health: Ecological Foundations addresses both the challenges and cooperative solutions of contemporary public health, within a framework of social justice, environmental sustainability, and global cooperation. With an emphasis on ecological foundations, this book approaches public health principles-history, foundations, topics, and applications-with a community-oriented perspective. By achieving global reach through cooperative, community-based interventions, this text illustrates that the practical application of public health principles can help maintain the health of the world's people. Blending established wisdom with new perspectives, Global Public Health will stimulate better understanding of how the different streams of public health can work more synergistically to promote global health equity. It is a foundation for future public health measures to be built and to succeed.
This book presents a specific and unified approach to Knowledge Discovery and Data Mining, termed IFN for Information Fuzzy Network methodology. Data Mining (DM) is the science of modelling and generalizing common patterns from large sets of multi-type data. DM is a part of KDD, which is the overall process for Knowledge Discovery in Databases. The accessibility and abundance of information today makes this a topic of particular importance and need. The book has three main parts complemented by appendices as well as software and project data that are accessible from the book's web site (http://www.eng.tau.ac.iV-maimonlifn-kdg£). Part I (Chapters 1-4) starts with the topic of KDD and DM in general and makes reference to other works in the field, especially those related to the information theoretic approach. The remainder of the book presents our work, starting with the IFN theory and algorithms. Part II (Chapters 5-6) discusses the methodology of application and includes case studies. Then in Part III (Chapters 7-9) a comparative study is presented, concluding with some advanced methods and open problems. The IFN, being a generic methodology, applies to a variety of fields, such as manufacturing, finance, health care, medicine, insurance, and human resources. The appendices expand on the relevant theoretical background and present descriptions of sample projects (including detailed results).
Presents an alphabetical listing of almost 5,000 words and phrases used in public health, with definitions, discussion, and occasional brief commentary on their relevance to people and to their health. This book serves as a desk reference to busy public health practitioners that helps them answer questions that arise in their work.
Links insights from conflict resolution theory to military doctrine for peacekeeping and the practical business of controlling and de-escalating violent conflict.
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.