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All positions of exons and introns of all genes as annotated in the Golden Path database and the positions of intergenic regions along with the number of SNPs in these regions were obtained and divided by the total length of the particular region.
MM was a site principal investigator in the PATH database and actively participated in data collection.
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The dataset is imported into three clean instances of the test IV database, the ARM database, and the Node + Path database.
In patient-searching tests, the series of lab test result archetypes were directly mapped into standalone tables in the ARM database and the Node + Path database.
In test 7, the query time increased greatly for the ARM database and the Node + Path database, in which more than one table was queried, namely tables OLabTestBloodGases, OLabTestFullBloodCount, OLabTestLiverFunction, OLabTestThyroid, and OLabTestUreaAndElectrolytes in both databases.
A comparison study was conducted to investigate the differences among the conventional database of an EHR system from a tertiary Class A hospital in China, the generated ARM database, and the Node + Path database.
To determine whether the performance can meet the requirements of clinical practice, a performance comparison is conducted between the generated ARM database, conventional IV database, and the official Node + Path database.
Finally, with all paths extracted from the workflows and inserted into the path database, the next step of the preparation phase is to run the sequential mining algorithm on all databases (complete database and domain-segregated databases).
The IV database requires 1.60 gigabytes on the hard disk, the ARM database requires 2.90 gigabytes, and the Node + Path database requires 43.87 gigabytes, which is far greater than the space required by the other two databases.
In test 6, only one table is queried with different conditions, namely: table OLabTestBloodGases in the ARM database, table Lab Test Data in the IV database, and table OLabTestBloodGases in the Node + Path database, so the increase of query time is trivial among all three databases.
A comparison of the generated ARM database, the conventional database deployed in the hospital, and the openEHR official Node + Path database is conducted.
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