FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3133669719> ?p ?o ?g. }

• W3133669719 abstract "Objectives: Reducing infant mortality in the whole world is one of the millennium development goals.The aim of this study was to determine the factors related to infant mortality using data mining algorithms. Methods: This population-based case-control study was conducted in eight provinces of Iran. A sum of 2,386 mothers (1,076 cases and 1,310 controls) enrolled in this study. Data were extracted from health records of mothers and filled with checklists in health centers. We employed several data mining algorithms such as AdaBoost classifier, Support Vector Machine, Artificial Neural Networks, Random Forests, K-nearest neighborhood, and Naïve Bayes in order to recognize the important predictors of infant death; binary logistic regression model was used to clarify the role of each selected predictor. Results: In this study, 58.7% of infant mortalities occurred in rural areas, that 55.6% of them were boys. Moreover, Naïve Bayes and Random Forest were highly capable of predicting related factors among data mining models. Also, the results showed that events during pregnancy such as dental disorders, high blood pressure, loss of parents, factors related to infants such as low birth weight, and factors related to mothers like consanguineous marriage and gap of pregnancy (< 3 years) were all risk factors while the age of pregnancy (18 - 35 year) and a high degree of education were protective factors. Conclusions: Infant mortality is the consequence of a variety of factors, including factors related to infants themselves and their mothers and events during pregnancy. Owing to the high accuracy and ability of modern modeling compared to traditional modeling, it is recommended to use machine learning tools for indicating risk factors of infant mortality." @default.
• W3133669719 created "2021-03-15" @default.
• W3133669719 creator A5007511708 @default.
• W3133669719 creator A5023923955 @default.
• W3133669719 creator A5030711087 @default.
• W3133669719 creator A5034177377 @default.
• W3133669719 creator A5040241485 @default.
• W3133669719 creator A5042785456 @default.
• W3133669719 creator A5057922193 @default.
• W3133669719 creator A5081083015 @default.
• W3133669719 creator A5086063963 @default.
• W3133669719 date "2021-02-28" @default.
• W3133669719 modified "2023-10-15" @default.
• W3133669719 title "Predictive Factors of Infant Mortality Using Data Mining in Iran" @default.
• W3133669719 cites W1993141720 @default.
• W3133669719 cites W2107502554 @default.
• W3133669719 cites W2119149003 @default.
• W3133669719 cites W2371479926 @default.
• W3133669719 cites W2396304904 @default.
• W3133669719 cites W2403822404 @default.
• W3133669719 cites W2405366961 @default.
• W3133669719 cites W2470759620 @default.
• W3133669719 cites W2536120357 @default.
• W3133669719 cites W2600907195 @default.
• W3133669719 cites W2614351584 @default.
• W3133669719 cites W2787388539 @default.
• W3133669719 cites W2800014070 @default.
• W3133669719 cites W2803382460 @default.
• W3133669719 cites W2809565304 @default.
• W3133669719 cites W2885070421 @default.
• W3133669719 cites W2888049860 @default.
• W3133669719 cites W2891797582 @default.
• W3133669719 cites W2937255234 @default.
• W3133669719 cites W3028039987 @default.
• W3133669719 cites W3147809485 @default.
• W3133669719 doi "https://doi.org/10.5812/compreped.108575" @default.
• W3133669719 hasPublicationYear "2021" @default.
• W3133669719 type Work @default.
• W3133669719 sameAs 3133669719 @default.
• W3133669719 citedByCount "3" @default.
• W3133669719 countsByYear W31336697192022 @default.
• W3133669719 crossrefType "journal-article" @default.
• W3133669719 hasAuthorship W3133669719A5007511708 @default.
• W3133669719 hasAuthorship W3133669719A5023923955 @default.
• W3133669719 hasAuthorship W3133669719A5030711087 @default.
• W3133669719 hasAuthorship W3133669719A5034177377 @default.
• W3133669719 hasAuthorship W3133669719A5040241485 @default.
• W3133669719 hasAuthorship W3133669719A5042785456 @default.
• W3133669719 hasAuthorship W3133669719A5057922193 @default.
• W3133669719 hasAuthorship W3133669719A5081083015 @default.
• W3133669719 hasAuthorship W3133669719A5086063963 @default.
• W3133669719 hasBestOaLocation W31336697191 @default.
• W3133669719 hasConcept C112299071 @default.
• W3133669719 hasConcept C119857082 @default.
• W3133669719 hasConcept C12267149 @default.
• W3133669719 hasConcept C126322002 @default.
• W3133669719 hasConcept C144024400 @default.
• W3133669719 hasConcept C149923435 @default.
• W3133669719 hasConcept C151956035 @default.
• W3133669719 hasConcept C187212893 @default.
• W3133669719 hasConcept C2779234561 @default.
• W3133669719 hasConcept C2908647359 @default.
• W3133669719 hasConcept C41008148 @default.
• W3133669719 hasConcept C52001869 @default.
• W3133669719 hasConcept C54355233 @default.
• W3133669719 hasConcept C71924100 @default.
• W3133669719 hasConcept C86803240 @default.
• W3133669719 hasConcept C99454951 @default.
• W3133669719 hasConceptScore W3133669719C112299071 @default.
• W3133669719 hasConceptScore W3133669719C119857082 @default.
• W3133669719 hasConceptScore W3133669719C12267149 @default.
• W3133669719 hasConceptScore W3133669719C126322002 @default.
• W3133669719 hasConceptScore W3133669719C144024400 @default.
• W3133669719 hasConceptScore W3133669719C149923435 @default.
• W3133669719 hasConceptScore W3133669719C151956035 @default.
• W3133669719 hasConceptScore W3133669719C187212893 @default.
• W3133669719 hasConceptScore W3133669719C2779234561 @default.
• W3133669719 hasConceptScore W3133669719C2908647359 @default.
• W3133669719 hasConceptScore W3133669719C41008148 @default.
• W3133669719 hasConceptScore W3133669719C52001869 @default.
• W3133669719 hasConceptScore W3133669719C54355233 @default.
• W3133669719 hasConceptScore W3133669719C71924100 @default.
• W3133669719 hasConceptScore W3133669719C86803240 @default.
• W3133669719 hasConceptScore W3133669719C99454951 @default.
• W3133669719 hasIssue "1" @default.
• W3133669719 hasLocation W31336697191 @default.
• W3133669719 hasOpenAccess W3133669719 @default.
• W3133669719 hasPrimaryLocation W31336697191 @default.
• W3133669719 hasRelatedWork W177578065 @default.
• W3133669719 hasRelatedWork W2144122976 @default.
• W3133669719 hasRelatedWork W4205744632 @default.
• W3133669719 hasRelatedWork W4300212571 @default.
• W3133669719 hasRelatedWork W8418214 @default.
• W3133669719 hasRelatedWork W2280164245 @default.
• W3133669719 hasRelatedWork W2287366314 @default.
• W3133669719 hasRelatedWork W2289193297 @default.
• W3133669719 hasRelatedWork W2293961446 @default.
• W3133669719 hasRelatedWork W2735718647 @default.
• W3133669719 hasVolume "12" @default.
• W3133669719 isParatext "false" @default.

• next