Understanding the data and reaching accurate conclusions are of paramount importance in
the present era of big data. Machine learning and probability theory methods have been …

Background Physicians routinely encounter diagnostic uncertainty in practice. Despite its
impact on health care utilization, costs and error, measurement of diagnostic uncertainty is …

“A major contribution to both the pragmatist renaissance and the transnational turn toward
theorizing in qualitative research.”—Adele E. Clarke, author of Situational Analysis …

Fresh Fruit, Broken Bodies provides an intimate examination of the everyday lives, suffering,
and resistance of Mexican migrants in our contemporary food system. Seth Holmes, an …

Health care is everywhere under tremendous pressure with regard to efficiency, safety, and
economic viability-to say nothing of having to meet various political agendas-and has …

Uncertainty is a pervasive and important problem that has attracted increasing attention in
health care, given the growing emphasis on evidence-based medicine, shared decision …

First published in 1985, Mary Douglas intended Risk and Acceptability as a review of the
existing literature on the state of risk theory. Unsatisfied with the current studies of risk, which …

Ignorance and Uncertainty overviews a variety of approaches to the problem of
indeterminacies in human thought and behavior. This book examines, in depth, trends in the …

The focus of this book is medicines (swallowed, injected, rubbed on), as understood by
anthropologists concerned solely with their social uses. The text begins with examples of a …

The development of a sociology of medical knowledge is both assessed and contributed to
in Medical Talk and Medical Work. Underlying the analysis is research on the work of …