P49: ARE TIME-TREND DATA SIGNIFICANTLY INFLUENCED BY IMPROVEMENT IN DIAGNOSING ANAPHYLAXIS OVER TIME?
نویسندگان
چکیده
منابع مشابه
Improvement of the Analytical Queries Response Time in Real-Time Data Warehouse using Materialized Views Concatenation
A real-time data warehouse is a collection of recent and hierarchical data that is used for managers’ decision-making by creating online analytical queries. The volume of data collected from data sources and entered into the real-time data warehouse is constantly increasing. Moreover, as the volume of input data to the real time data warehouse increases, the interference between online loading ...
متن کاملHospital admissions for acute anaphylaxis: time trend study.
Anecdotal evidence suggests that the incidence of acute anaphylaxis is increasing. Reasons for this supposed increase are poorly understood although a number of factors associated with the “Western lifestyle” have been implicated, such as changes in diet and the increasing use of therapeutic drugs. We investigated trends in hospital admissions for acute anaphylaxis using routinely collected nat...
متن کاملBayesian perspective over time
Thomas Bayes, the founder of Bayesian vision, entered the University of Edinburgh in 1719 to study logic and theology. Returning in 1722, he worked with his father in a small church. He also was a mathematician and in 1740 he made a novel discovery which he never published, but his friend Richard Price found it in his notes after his death in 1761, reedited it and published it. But until L...
متن کاملAn Improvement in Temporal Resolution of Seismic Data Using Logarithmic Time-frequency Transform Method
The improvement in the temporal resolution of seismic data is a critical issue in hydrocarbon exploration. It is important for obtaining more detailed structural and stratigraphic information. Many methods have been introduced to improve the vertical resolution of reflection seismic data. Each method has advantages and disadvantages which are due to the assumptions and theories governing their ...
متن کاملMissing data imputation in multivariable time series data
Multivariate time series data are found in a variety of fields such as bioinformatics, biology, genetics, astronomy, geography and finance. Many time series datasets contain missing data. Multivariate time series missing data imputation is a challenging topic and needs to be carefully considered before learning or predicting time series. Frequent researches have been done on the use of diffe...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Internal Medicine Journal
سال: 2017
ISSN: 1444-0903
DOI: 10.1111/imj.49_13578