Title :
A Provenance Model Based on Declarative Specifications for Intensive Data Analyses in Hemotherapy Information Systems
Author :
Nascimento Almeida, Fernanda ; Tunes, Gisela ; Cerdeira Sabino, Ester ; Mendrone-Junior, Alfredo ; Ferreira, Joao Eduardo
Author_Institution :
Inst. of Math. & Stat., Univ. of Sao Paulo, Sao Paulo, Brazil
Abstract :
In the donation process, blood donors are screened for the level of hemoglobin or hematocrit in order to protect them from developing anemia. Nevertheless, there is no standard procedure to predict anemia development after blood donation. The São Paulo Blood Center is responsible for maintaining a database with information on each donation. However, this database doesn´t have a good quality and consequently it is difficult to establish systematic analysis using the donation database without previous data validations. In order to provide a better quality of donation data, this paper presents a provenance description based on a classification criteria defined by specialists. More concretely, this paper answers the follow main question: is there a connection between blood donation and decrease in hematocrit level in order to prevent undesirable outcomes to blood donors? In this paper we show that it is possible to provide detailed investigations in order to answer this main question using the data description without the need to impose changes in the current database system structures that is sponsored by São Paulo Blood Center.
Keywords :
blood; data analysis; database management systems; diseases; medical information systems; pattern classification; proteins; São Paulo Blood Center; anemia development; blood donation; blood donors; classification criteria; data description; data validations; database maintenance; database system structures; declarative specifications; donation data quality; donation database; donation information; donation process; hematocrit level; hemoglobin level; hemotherapy information systems; intensive data analyses; provenance description; provenance model; systematic analysis; Blood; Data mining; Databases; Reliability; Sociology; Statistical analysis; declarative specifications; hemotherapy information; ontensive data analyses; provenance model;
Conference_Titel :
e-Science (e-Science), 2014 IEEE 10th International Conference on
Conference_Location :
Sao Paulo
Print_ISBN :
978-1-4799-4288-6
DOI :
10.1109/eScience.2014.28