PRS15 PREDICTING EXACERBATION EVENTS IN COPD USING ADMINISTRATIVE DATA
نویسندگان
چکیده
منابع مشابه
Predicting hip and major osteoporotic fractures using administrative data.
T he Fracture Risk Assessment tool (FRAX) was released in 2008 by the World Health Organization (WHO). The FRAX algorithm uses bone mineral density (BMD) and 11 additional clinical and physiological risk factors to estimate a person’s 10-year probability of hip and other major osteoporotic fracture. The latter is defined by the WHO as a hip, clinical vertebral, distal forearm, or humerus fractu...
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فعالیت های نگهداری و تعمیرات اطلاعاتی را تولید می کند که می تواند در تعیین زمان های بیکاری و ارایه یک برنامه زمان بندی شده یا تعیین هشدارهای خرابی به پرسنل نگهداری و تعمیرات کمک کند. وقتی که مقدار داده های تولید شده زیاد باشند، فهم بین متغیرها بسیار مشکل می شوند. این پایان نامه به کاربردی از داده کاوی برای کاوش پایگاه های داده چندبعدی در حوزه نگهداری و تعمیرات، برای پیدا کردن خرابی هایی که موجب...
15 صفحه اولCOPD exacerbation: Lost in translation
The introduction and acceptance of a standard definition for exacerbations of COPD can be helpful in prompt diagnosis and management of these events. The latest GOLD executive committee recognised this necessity and it has now included a definition of exacerbation in the guidelines for COPD which is an important step forward in the management of the disease. This definition is pragmatic and com...
متن کاملPredicting frequent COPD exacerbations using primary care data
PURPOSE Acute COPD exacerbations account for much of the rising disability and costs associated with COPD, but data on predictive risk factors are limited. The goal of the current study was to develop a robust, clinically based model to predict frequent exacerbation risk. PATIENTS AND METHODS Patients identified from the Optimum Patient Care Research Database (OPCRD) with a diagnostic code fo...
متن کاملFrequency-based Rare Events Mining in Administrative Health Data
The low occurrence rate of adverse drug reactions makes it difficult to identify risk factors from a straightforward application of association pattern discovery in large databases. In this paper, we are interested in developing a data mining approach that can use the information about rare events in sequence data in order to measure the multiple occurrences of patterns in the whole period of t...
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ژورنال
عنوان ژورنال: Value in Health
سال: 2005
ISSN: 1098-3015
DOI: 10.1016/s1098-3015(10)62864-1