Linked Life Data

2817167

Source:http://linkedlifedata.com/resource/pubmed/id/2817167

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
11
pubmed:dateCreated
1989-11-24
pubmed:abstractText
Vital records data bases describe large populations over long periods of time, yet their organization and size often preclude or discourage their use. We constructed a microcomputer-based data base of all singleton births in Massachusetts, 1975-84. The original data were stored in 700,000 records, each 174 bytes long, occupying a total of over 120 megabytes (MB). By removing redundant information and unique identifiers, and packing the data, we store 21 fields of this information in a 16-byte record resulting in a data base of 11.1 MB, a saving of over 90 percent of disk space. By using programs written expressly for this data base, we can display a birth weight frequency plot of the entire data set in under 65 seconds on an IBM-compatible PC-AT. Comparable assessments in SAS-PC took over 105 minutes and in main frame SAS on an AS-9000 took over 37 CPU seconds. Implementing similar systems for state registries on births, deaths, cancers, and birth defects potentially offers investigators easy access to vast stores of information and would enable public health officials to produce timely reports, initiate a variety of surveillance activities, and respond rapidly to residents' inquiries about clusters and anomalous disease patterns.
pubmed:grant
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
AIM
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
0090-0036
pubmed:author
pubmed:issnType
Print
pubmed:volume
79
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1531-6
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:year
1989
pubmed:articleTitle
A microcomputer-based vital records data base with interactive graphic assessment for states and localities.
pubmed:affiliation
Department of Environmental and Community Medicine, UMDNJ--Robert Wood Johnson Medical School, Piscataway 08854.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.