Neonatal mortality indicators in hospitals
Sets of data for neonatal mortality rate with different predictors. Two distinct datasets are provided, a paired sample dataset, data_indicators, and an independent sample dataset, data_hosp. The data_indicators files details 169 low weight newborns of 1995 in the Neonatology ward of Hospital Garcia...
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| creator | Quintas, José Pedro |
| description | Sets of data for neonatal mortality rate with different predictors. Two distinct datasets are provided, a paired sample dataset, data_indicators, and an independent sample dataset, data_hosp. The data_indicators files details 169 low weight newborns of 1995 in the Neonatology ward of Hospital Garcia da Orta, Portugal. These cases were scored with different risk assessment predictors, “WEIGH_AG”, “CRIB”, “NTISS”, “SNAP “and “SNAPPE”. Values of these scoring systems were recorded along the survival status (0, alive; 1, death) The data_hosp files details 234 low weight newborns from 1995 across four different Portuguese hospitals with “CRIB” score recorded for each case. Hospitals are numbered 1 through 4 (hospital1-4) and register different sample sizes, hospital1 with 77 cases, hospital2 with 33, hospital3 with 45 and finally hospital4 with 79 cases. Survival status of each case was recorded (0, alive; 1, death). |
| doi_str_mv | 10.17632/zx4r8mgn86 |
| format | Dataset |
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Two distinct datasets are provided, a paired sample dataset, data_indicators, and an independent sample dataset, data_hosp. The data_indicators files details 169 low weight newborns of 1995 in the Neonatology ward of Hospital Garcia da Orta, Portugal. These cases were scored with different risk assessment predictors, “WEIGH_AG”, “CRIB”, “NTISS”, “SNAP “and “SNAPPE”. Values of these scoring systems were recorded along the survival status (0, alive; 1, death) The data_hosp files details 234 low weight newborns from 1995 across four different Portuguese hospitals with “CRIB” score recorded for each case. Hospitals are numbered 1 through 4 (hospital1-4) and register different sample sizes, hospital1 with 77 cases, hospital2 with 33, hospital3 with 45 and finally hospital4 with 79 cases. Survival status of each case was recorded (0, alive; 1, death).</description><identifier>DOI: 10.17632/zx4r8mgn86</identifier><language>eng</language><publisher>Mendeley</publisher><subject>Bioinformatics ; Biostatistics ; FOS: Computer and information sciences ; Neonatal Health</subject><creationdate>2020</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>776,1888</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.17632/zx4r8mgn86$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Quintas, José Pedro</creatorcontrib><title>Neonatal mortality indicators in hospitals</title><description>Sets of data for neonatal mortality rate with different predictors. Two distinct datasets are provided, a paired sample dataset, data_indicators, and an independent sample dataset, data_hosp. The data_indicators files details 169 low weight newborns of 1995 in the Neonatology ward of Hospital Garcia da Orta, Portugal. These cases were scored with different risk assessment predictors, “WEIGH_AG”, “CRIB”, “NTISS”, “SNAP “and “SNAPPE”. Values of these scoring systems were recorded along the survival status (0, alive; 1, death) The data_hosp files details 234 low weight newborns from 1995 across four different Portuguese hospitals with “CRIB” score recorded for each case. Hospitals are numbered 1 through 4 (hospital1-4) and register different sample sizes, hospital1 with 77 cases, hospital2 with 33, hospital3 with 45 and finally hospital4 with 79 cases. Survival status of each case was recorded (0, alive; 1, death).</description><subject>Bioinformatics</subject><subject>Biostatistics</subject><subject>FOS: Computer and information sciences</subject><subject>Neonatal Health</subject><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2020</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNpjYBA2NNAzNDczNtKvqjApsshNz7Mw42TQ8kvNz0ssScxRyM0vAlKZJZUKmXkpmcmJJflFxUCmQkZ-cUEmUKaYh4E1DUil8kJpbgZtN9cQZw_dFKD-5MyS1PiCoszcxKLKeEODeLBN8QibjElTDQCxaDd8</recordid><startdate>20200311</startdate><enddate>20200311</enddate><creator>Quintas, José Pedro</creator><general>Mendeley</general><scope>DYCCY</scope><scope>PQ8</scope></search><sort><creationdate>20200311</creationdate><title>Neonatal mortality indicators in hospitals</title><author>Quintas, José Pedro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-datacite_primary_10_17632_zx4r8mgn863</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Bioinformatics</topic><topic>Biostatistics</topic><topic>FOS: Computer and information sciences</topic><topic>Neonatal Health</topic><toplevel>online_resources</toplevel><creatorcontrib>Quintas, José Pedro</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Quintas, José Pedro</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>Neonatal mortality indicators in hospitals</title><date>2020-03-11</date><risdate>2020</risdate><abstract>Sets of data for neonatal mortality rate with different predictors. Two distinct datasets are provided, a paired sample dataset, data_indicators, and an independent sample dataset, data_hosp. The data_indicators files details 169 low weight newborns of 1995 in the Neonatology ward of Hospital Garcia da Orta, Portugal. These cases were scored with different risk assessment predictors, “WEIGH_AG”, “CRIB”, “NTISS”, “SNAP “and “SNAPPE”. Values of these scoring systems were recorded along the survival status (0, alive; 1, death) The data_hosp files details 234 low weight newborns from 1995 across four different Portuguese hospitals with “CRIB” score recorded for each case. Hospitals are numbered 1 through 4 (hospital1-4) and register different sample sizes, hospital1 with 77 cases, hospital2 with 33, hospital3 with 45 and finally hospital4 with 79 cases. Survival status of each case was recorded (0, alive; 1, death).</abstract><pub>Mendeley</pub><doi>10.17632/zx4r8mgn86</doi><oa>free_for_read</oa></addata></record> |
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| identifier | DOI: 10.17632/zx4r8mgn86 |
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| language | eng |
| recordid | cdi_datacite_primary_10_17632_zx4r8mgn86 |
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| subjects | Bioinformatics Biostatistics FOS: Computer and information sciences Neonatal Health |
| title | Neonatal mortality indicators in hospitals |
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