Data file for CVD new models paper TT2015 casecontrol.csv
A survey of 778 participants, 526 persons with no prior CVD, and 252 who reported prior CVD. Binomial logistic regression and Discriminant analysis were utilised to develop risk classification models. The Cardio-Val system provided a general measure of severity of disease by utilising scores estima...
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Dataset |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
container_start_page | |
container_title | |
container_volume | |
creator | Hosein, Amalia |
description | A survey of 778 participants, 526 persons with no prior CVD, and 252 who reported prior CVD. Binomial logistic regression and Discriminant analysis were utilised to develop risk classification models. The Cardio-Val system provided a general measure of severity of disease by utilising scores estimated from two algorithms developed from 13 routine physiologic measurements, along with demographic information of age and ethnicity, inter alia, and previous health status. |
doi_str_mv | 10.6084/m9.figshare.21551550 |
format | Dataset |
fullrecord | <record><control><sourceid>datacite_PQ8</sourceid><recordid>TN_cdi_datacite_primary_10_6084_m9_figshare_21551550</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_6084_m9_figshare_21551550</sourcerecordid><originalsourceid>FETCH-datacite_primary_10_6084_m9_figshare_215515503</originalsourceid><addsrcrecordid>eNqdzkEKwjAUBNBsXIh6Axf_AsaktmLXreIBitvwSX80kDQlCYq3t4K9gDAwqxkeY1sp-FGcyr2vubH39MBIvJBVNUUsWd1iRjDWEZgQobm1MNALfOjJJRhxpAhdVwhZgcZEOgw5Bsd1eq7ZwqBLtPn1ipWXc9dcd_30qG0mNUbrMb6VFOorUL5Ws0DNgsOfsw9r6kI2</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>dataset</recordtype></control><display><type>dataset</type><title>Data file for CVD new models paper TT2015 casecontrol.csv</title><source>DataCite</source><creator>Hosein, Amalia</creator><creatorcontrib>Hosein, Amalia</creatorcontrib><description> A survey of 778 participants, 526 persons with no prior CVD, and 252 who reported prior CVD. Binomial logistic regression and Discriminant analysis were utilised to develop risk classification models. The Cardio-Val system provided a general measure of severity of disease by utilising scores estimated from two algorithms developed from 13 routine physiologic measurements, along with demographic information of age and ethnicity, inter alia, and previous health status. </description><identifier>DOI: 10.6084/m9.figshare.21551550</identifier><language>eng</language><publisher>figshare</publisher><subject>Cardiology (incl. cardiovascular diseases) ; Epidemiology not elsewhere classified ; Health surveillance ; Preventative health care ; Public health not elsewhere classified</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0002-8606-6208</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>776,1887</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.6084/m9.figshare.21551550$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Hosein, Amalia</creatorcontrib><title>Data file for CVD new models paper TT2015 casecontrol.csv</title><description> A survey of 778 participants, 526 persons with no prior CVD, and 252 who reported prior CVD. Binomial logistic regression and Discriminant analysis were utilised to develop risk classification models. The Cardio-Val system provided a general measure of severity of disease by utilising scores estimated from two algorithms developed from 13 routine physiologic measurements, along with demographic information of age and ethnicity, inter alia, and previous health status. </description><subject>Cardiology (incl. cardiovascular diseases)</subject><subject>Epidemiology not elsewhere classified</subject><subject>Health surveillance</subject><subject>Preventative health care</subject><subject>Public health not elsewhere classified</subject><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2024</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNqdzkEKwjAUBNBsXIh6Axf_AsaktmLXreIBitvwSX80kDQlCYq3t4K9gDAwqxkeY1sp-FGcyr2vubH39MBIvJBVNUUsWd1iRjDWEZgQobm1MNALfOjJJRhxpAhdVwhZgcZEOgw5Bsd1eq7ZwqBLtPn1ipWXc9dcd_30qG0mNUbrMb6VFOorUL5Ws0DNgsOfsw9r6kI2</recordid><startdate>20240810</startdate><enddate>20240810</enddate><creator>Hosein, Amalia</creator><general>figshare</general><scope>DYCCY</scope><scope>PQ8</scope><orcidid>https://orcid.org/0000-0002-8606-6208</orcidid></search><sort><creationdate>20240810</creationdate><title>Data file for CVD new models paper TT2015 casecontrol.csv</title><author>Hosein, Amalia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-datacite_primary_10_6084_m9_figshare_215515503</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Cardiology (incl. cardiovascular diseases)</topic><topic>Epidemiology not elsewhere classified</topic><topic>Health surveillance</topic><topic>Preventative health care</topic><topic>Public health not elsewhere classified</topic><toplevel>online_resources</toplevel><creatorcontrib>Hosein, Amalia</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Hosein, Amalia</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>Data file for CVD new models paper TT2015 casecontrol.csv</title><date>2024-08-10</date><risdate>2024</risdate><abstract> A survey of 778 participants, 526 persons with no prior CVD, and 252 who reported prior CVD. Binomial logistic regression and Discriminant analysis were utilised to develop risk classification models. The Cardio-Val system provided a general measure of severity of disease by utilising scores estimated from two algorithms developed from 13 routine physiologic measurements, along with demographic information of age and ethnicity, inter alia, and previous health status. </abstract><pub>figshare</pub><doi>10.6084/m9.figshare.21551550</doi><orcidid>https://orcid.org/0000-0002-8606-6208</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | DOI: 10.6084/m9.figshare.21551550 |
ispartof | |
issn | |
language | eng |
recordid | cdi_datacite_primary_10_6084_m9_figshare_21551550 |
source | DataCite |
subjects | Cardiology (incl. cardiovascular diseases) Epidemiology not elsewhere classified Health surveillance Preventative health care Public health not elsewhere classified |
title | Data file for CVD new models paper TT2015 casecontrol.csv |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T18%3A09%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-datacite_PQ8&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=unknown&rft.au=Hosein,%20Amalia&rft.date=2024-08-10&rft_id=info:doi/10.6084/m9.figshare.21551550&rft_dat=%3Cdatacite_PQ8%3E10_6084_m9_figshare_21551550%3C/datacite_PQ8%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |