Plasmodium Genus Assay Transition to the Joint Biological Agent Identification and Diagnostic System (JBAIDS)

2012 ◽  
Author(s):  
James A. Swaby ◽  
James C. McAvin
Keyword(s):  
Diagnostic System ◽  
Biological Agent

scholarly journals Field-Based PCR for Rapid Diagnosis of Cutaneous Anthrax in the Deployed Setting Using the Joint Biological Agent Identification and Diagnostic System

2013 ◽  
Vol 178 (8) ◽  
pp. e944-e947 ◽  
Author(s):  
Sarah Pace ◽  
Daniel Steigelman ◽  
Scott A. Norton ◽  
Stephen Krivda
Keyword(s):  
Diagnostic System ◽  
Rapid Diagnosis ◽  
Biological Agent ◽  
Cutaneous Anthrax

scholarly journals Characterization of the Effects of Heat Stress on the DNA-Intercalating Dye EvaGreen for Potential Use With the Joint Biological Agent Identification and Diagnostic System

2014 ◽  
Vol 179 (6) ◽  
pp. 626-632 ◽  
Author(s):  
Craig D. Nowadly ◽  
Jason W. David ◽  
Melanie L. M. Grogger ◽  
Erik R. Demkowicz ◽  
Daniel H. Atchley ◽  
...  
Keyword(s):  
Heat Stress ◽  
Diagnostic System ◽  
Biological Agent ◽  
Intercalating Dye ◽  
Potential Use

PRIME MD Diagnostic System

1995 ◽  
Author(s):  
Robert L. Spitzer ◽  
Kurt Kroenke ◽  
Mark Linzer ◽  
Steven R. Hahn ◽  
Janet B. W. Williams ◽  
...  
Keyword(s):  
Diagnostic System

A joint diagnostic system for laser-driven shock wave experiments

2013 ◽  
Vol 62 (3) ◽  
pp. 31001 ◽  
Author(s):  
Hua Shu ◽  
Si-Zu Fu ◽  
Xiu-Guang Huang ◽  
Jia-Qin Dong ◽  
Zhi-Heng Fang ◽  
...  
Keyword(s):  
Shock Wave ◽  
Diagnostic System

Observer Variation in Clinical Diagnosis - A Computer-Aided Assessment of its Magnitude and Importance in 552 Patients with Abdominal Pain

1973 ◽  
Vol 12 (02) ◽  
pp. 108-113 ◽  
Author(s):  
P. W. Gill ◽  
D. J. Leaper ◽  
P. J. Guillou ◽  
J. R. Staniland ◽  
J. C. Horhocks ◽  
...  
Keyword(s):  
Abdominal Pain ◽  
Clinical Diagnosis ◽  
Error Rate ◽  
Diagnostic System ◽  
Diagnostic Error ◽  
Observer Variation ◽  
History Taking ◽  
Computer Aided ◽  
Computer Based ◽  
Initial Survey

This report describes an evaluation of »observer variation« in history taking and examination of patients with abdominal pain. After an initial survey in which the degree of observer variation amongst the present authors fully confirmed previous rather gloomy forecasts, a system of »agreed definitions« was produced, and further studies showed a rapid and considerable fall in the degree of observer variation between the data recorded by the same authors. Finally, experience with a computer-based diagnostic system using the same system of agreed definitions showed the maximum diagnostic error rate due to faulty acquisition of data to be low (4.7°/o in a series of 552 cases). It is suggested as a result of these studies that — at least in respect of abdominal pain — errors in data acquisition by the clinician need not be the prime cause of faulty diagnoses.

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