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Link Age Record: easy document editing

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Record linkage (RL) is the task of finding records in a data set that refer to the same entity across different data sources (e.g., data files, books, websites, and databases). Record linkage is referred to as data linkage in many jurisdictions, but the two are the same process.
Medical record linkage implies the gathering and maintenance of one file for each individual in a population, with records relating to his/her health. Record linkage is a particularly suitable method of studying association between diseases; these associations may have etiological significance.
Splitting. The first step in data linkage is to split the records from each dataset into two separate files. Data Linkage. Data integration and disclosure. Creating a research data set.
Data linkage is a process which temporarily brings together two or more sets of administrative or survey data from different organizations to produce a wealth of information which can be used for research and statistical purposes. This allows for the true value of the data to be realized.
Entity Resolution is the task of disambiguating manifestations of real world entities in various records or mentions by linking and grouping. For example, there could be different ways of addressing the same person in text, different addresses for businesses, or photos of a particular object.
Record matching is the problem of identifying whether two records in a database refer to the same real-world entity. The focus of record matching is to identify pairs of matching records while that of reduplication is to partition records so that records in the same partition refer to the same entity.
Data linkage is a method of bringing information from different sources together about the same person or entity to create a new, richer dataset. Data linkage is done by assigning an identifying number to each person on a dataset and storing a set of links to all records for the person.
Data linkage is the process where data is linked across datasets using common identifiers such as name, address and birthdate. This linkage enables multiple data sources to be brought together, allowing for meaningful research and evaluation across a broader range of data.
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