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These guidelines explain how to make Web content [p. 26] accessible to people with disabilities. The guidelines are intended for all Web content developers [p. 26] (page authors and site designers) and for developers of authoring tools [p. 25]. The primary goal of these guidelines is to promote accessibility. However, following them will also make Web(More)
OBJECTIVE To examine the relationship between hospital and emergency department (ED) occupancy, as indicators of hospital overcrowding, and mortality after emergency admission. DESIGN Retrospective analysis of 62 495 probabilistically linked emergency hospital admissions and death records. SETTING Three tertiary metropolitan hospitals between July 2000(More)
BACKGROUND Current 2005 guidelines for advanced cardiac life support strongly recommend immediate defibrillation for out-of-hospital cardiac arrest. However, findings from experimental and clinical studies have indicated a potential advantage of pretreatment with chest compression-only cardiopulmonary resuscitation (CPR) prior to defibrillation in improving(More)
The work describes an application of a recently developed machine-learning technique called Mondrian predictors to risk assessment of ovarian and breast cancers. The analysis is based on mass spectrometry profiling of human serum samples that were collected in the United Kingdom Collaborative Trial of Ovarian Cancer Screening. The work describes the(More)
This paper describes the methodology of providing multiprobability predictions for proteomic mass spectrometry data. The methodology is based on a newly developed machine learning framework called Venn machines. Is allows to output a valid probability interval. The methodology is designed for mass spectrometry data. For demonstrative purposes, we applied(More)
Many injury severity scoring tools have been developed over the past few decades. These tools include the Injury Severity Score (ISS), New ISS (NISS), Trauma and Injury Severity Score (TRISS) and International Classification of Diseases (ICD)-based Injury Severity Score (ICISS). Although many studies have endeavored to determine the ability of these tools(More)
This paper describes the methodology of providing multi-probability predictions for proteomic mass spectrometry data. The methodology is based on a newly developed machine learning framework called Venn machines. They allow us to output a valid probability interval. We apply this methodology to mass spectrometry data sets in order to predict the diagnosis(More)
OBJECTIVE To describe the policy and practice relating to cardiopulmonary resuscitation (CPR) and defibrillation in cardiac arrest in Australian hospitals. DESIGN Cross-sectional postal survey conducted in December 2001, using a semi-structured, four-page questionnaire. PARTICIPANTS Australian hospitals with more than 10 beds. MAIN OUTCOME MEASURES(More)