Citation: Rita Dario, Alberto Amato, Marina Popolizio, Chiara Desantis, Valentina Faraco, Vincenzo Di Lecce, "On the use of the SPQR algorithm for the analysis of small medical datasets" International Conference On Software Engineering And Information Technology(ICSEIT) 25th Jul-26th Jul 2023 Athens, Greece
Abstract: This study aims to analyze a health dataset to identify significant correlations between clinical parameters and diagnostic indicators. The objective is to enhance the health of workers and promote a healthy lifestyle through preventive measures. Due to the limited sample size, it was necessary to identify variables with higher significance using the SPQR algorithm. The application of the SPQR algorithm revealed noteworthy associations between clinical parameters and diagnostic indicators, with a specific emphasis on the WHtR parameter. By identifying complex patterns in the dataset, the SPQR algorithm offers a clear perspective for enhancing the diagnosis and management of medical conditions.
Keyword: Reduced size DB, semi pivoted QR, worker health