Recent writing and research on Latino mental health concerns have assisted in sharpening issues re-garding Latino mental health needs and in identifying service delivery features that enhance effectiveness of services. What was once framed as underutilization of services is now conceptualized as disparities in ser-

Objective: To create a simplified clinical algorithm for the triage of children with abdominal pain. Design: Data mining methodology (Rough sets analysis) was applied to a randomized data set obtained from patients ' emergency admission charts. Setting: Emergency Room at the Children

resident sectiOn clinical algOrithms

Abdominal pain is a common clinical emergency. The challenge at the triage of such patients is to differentiate those who may safely be discharged home from those that require urgent medical or surgical consultation.

records based on an extended version of an Independent Component Analysis (ICA) algorithm [2, 12] for performing blind source separation on linear mixtures of independent source signals. Our results show that ICA can effectively separate and remove contamination from a wide variety of artifactual sources

; for the observed clinical manifestations. The statistical conclusions may produce the name of a "disease " as a likely candidate in diagnostic nomenclature, but they do not demonstrate the disease, or explain what has happened. The statistical strategies, however, have a powerful intellectual attraction

The authors ’ affiliations are listed in the Appendix. Address reprint requests to Dr. Kimmel at the Center for Therapeutic

diagnosis in Vietnam relies on symptom screening, chest radiography (CXR), and acid fast bacilli (AFB) sputum smear which have a poor sensitivity in HIV patients. We evaluated the performance of clinical algorithms in screening and diagnosing AFB smear-negative TB in HIV patients. Methods. We enrolled 399

We conducted a study to determine whether clinical algorithms would be useful in malaria diagnosis among people living in an area of moderate malaria transmission within Kilifi District in Kenya. A total of 1602 people of all age groups participated. We took smears and recorded clinical signs

Background Predicting the risk of tuberculosis (TB) in people living with HIV (PLHIV) using a single test is currently not possible. We aimed to develop and validate a clinical algorithm, using base-line CD4 cell counts, HIV viral load (pVL), and interferon-gamma release assay (IGRA), to identify