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There exist a number of water quality indices based on different indicators and aggregation methods used today throughout the world, such as the U.S. National Sanitation Foundation Water Quality Index (NSFWQI); the Canadian Council of Ministers of the Environment Water Quality Index (CCMEWQI); the British Columbia Water Quality Index (BCWQI), and the Oregon Water Quality Index (OWQI).
It can be examined based on different indicators (through the quantitative technique).
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To assess the consistency of estimates of per capita relative need for health services based on different need indicators, this study estimated differences in per capita need for health services between Canadian provinces using two approaches.
Features extracted are based on different performance indicators like root mean square (RMS) value and kurtosis.
Canada offers an interesting setting and rich data sources to compare resource allocations from models based on different need indicators and to assess their face validity.
The objective of this study was to assess the consistency of estimates of per capita relative need for health services based on different need indicators across Canadian provinces and assess their face validity.
The primary objective of this study was to assess the consistency and plausibility of estimates of per capita relative need for health services across Canadian provinces based on different need indicators.
Our main finding is that only using indicators based on survival may be insufficient, and that indicators based on different outcomes may capture quality differences in different parts of the health status distribution.
These two analyses, based on different data sets and indicators, were intended to provide estimates concerning the impact of inpatient complications on hospital costs.
Linkage of records from the Western Australian Notifiable Diseases Database with existing linked data within the Western Australian Data Linkage System used routine probabilistic matching methods to link demographic information from notification data (surname, first name, sex, date of birth and residential address) using multiple passes based on different subsets of demographic indicators.
This research presents pedestrian design indicators based on different guidelines that consider various pedestrian needs.
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