Understanding Recovery as a Mechanism for Individualized Treatment Selection in Major Depressive Disorder: A case study.

Printer-friendly version

Abstract:

Depression is a mental disorder, characterized by symptoms of sadness, loss of interest or pleasure, feelings of guilt or low self-worth, disturbed sleep or appetite, feelings of tiredness, and poor concentration. The World Health Organization (WHO) reports "Depression affects more than 350 million people of all ages, in all communities, and is a significant contributor to the global burden of disease." The US government reports that Major Depressive Disorder (MDD) is the leading cause of disability in the U.S. for ages 15-44. This talk will present a model of depression recovery used to characterize individual patient response to treatment. The model provides an explanation that on the surface seems like a paradox, namely, how an antidepressant treatment could result in suicide. The talk will be placed in the context of the past twenty years and highlight key events that are leading to radically different world of medical practice. I'll briefly mention some current controversies in the treatment of Depression and introduce the emerging field of Health Web Science.

History

DateCreated ByLink
November 11, 2012
11:34:02
Joanne S. LucianoDownload

Related Research Areas:

Web Science
Lead Professor: Jim Hendler, Deborah L. McGuinness
Description: Web Science is the study of the World Wide Web and its impact on both society and technology, positioning the Web as an object of scientific study unto itself. Web Science recognizes the Web as a transformational, disruptive technology; its practitioners study the Web, its components, facets and characteristics. Ultimately, Web Science is about understanding the Web and anticipating how it might evolve in the future.
Concepts: Semantic Web