Hospital Statistics 1 April 2002 - 31 March 2003

Volume 1: Programme of Care

Hospital Statistics 1 April 2001 - 31 March 2002

Volume 1: Programme of Care

Hospital Statistics 1 April 2000 - 31 March 2001

Volume 1: Programme of Care

Northern Ireland Community Statistics (PDF 31 KB)

1999/2000 to 2003/2004 - Key Facts

Hospital Statistics 1 April 1999 - 31 March 2000

Volume 1: Programme of Care

Hospital Statistics 1 April 1998 - 31 March 1999

Volume 1: Programme of Care

Report on Perinatal Statistics for 1999

The principal aim of the National Perinatal Reporting Scheme (NPRS) is the provision of national statistics on perinatal events. Since 1999, the Economic and Social Research Institute (ESRI) has been contracted by the Department of Health and Children to oversee the collection, processing, management and reporting of data submitted to the NPRS. In this report, data on pregnancy outcomes, with particular reference to perinatal mortality and important aspects of perinatal care, are presented for 1999. In addition, descriptive social and biological characteristics of mothers giving birth and babies born in 1999 are recorded. Download document here

Health Statistics 2002

The four key principles guiding the development of the Health Strategy (2001): Quality and Fairness: A Health System for You are equity, people-centredness, quality and accountability. High quality statistical data are fundamental to the delivery of each of these. Relevant, accurate and accessible information should inform all health decisions. This includes information for the public as well as data required to enable evidence-based service delivery and evaluation, policy formulation and the measurement of health gain.This compendium of health statistics brings together data from a wide variety of sources on demography, health status and the delivery of health services. It provides a broad overview of health in Ireland as well as serving as a resource and reference for those interested in particular aspects of health and the health services. Download document here

Health Statistics 1999

10.6.1999 This compendium of health statistics brings together data from a wide variety of sources on demographics, health and health service utilisation. It has been extensively revised and expanded compared with earlier editions. The intention is to provide a statistical overview as well as serving as a resource and reference for those interested in particular aspects of health Download the Report here

Hierarchical conditional random fields for parts based models matching

A parts based model is a parametrization of an object class using a collection of landmarks following the object structure. The matching of parts based models is one of the problems where pairwise Conditional Random Fields have been successfully applied. The main reason of their effectiveness is tractable inference and learning due to the simplicity of involved graphs, usually trees. However, these models do not consider possible patterns of statistics among sets of landmarks, and thus they sufffer from using too myopic information. To overcome this limitation, we propoese a novel structure based on a hierarchical Conditional Random Fields, which we explain in the first part of this memory. We build a hierarchy of combinations of landmarks, where matching is performed taking into account the whole hierarchy. To preserve tractable inference we effectively sample the label set. We test our method on facial feature selection and human pose estimation on two challenging datasets: Buffy and MultiPIE. In the second part of this memory, we present a novel approach to multiple kernel combination that relies on stacked classification. This method can be used to evaluate the landmarks of the parts-based model approach. Our method is based on combining responses of a set of independent classifiers for each individual kernel. Unlike earlier approaches that linearly combine kernel responses, our approach uses them as inputs to another set of classifiers. We will show that we outperform state-of-the-art methods on most of the standard benchmark datasets.

Report on Perinatal Statistics for 2002

Click here to download PDF

Long-Stay Activity Statistics 2012

This report presents data collected through a survey of long-stay units in 2012. The aim of the survey is to provide statistics on the number of beds available for long-term care, how the beds are used and the types of patients who occupy these beds.In order to present the data this report has been divided into a number of sections. This introductory section examines how data was collected and analysed and gives a summary of the results. Long-Stay Activity Statistics 2012