Data engineering to support intelligence for precision medicine in intensive care

• Author(s): Mosavi, Nasimsadat ; Santos, Manuel
• Date: 2022
• Persistent ID: https://hdl.handle.net/1822/90404
• Origin: RepositóriUM - Universidade do Minho
• Subject(s): data engineering; data processing; intensive care; optimal decision making; precision medicine
• Document Type: Conference paper
• Language: English
• Contributor(s): Universidade do Minho

Description

this paper aimed to present the unique data engineering work for dealing with fragmented and infrequent data collection and to integrate data from Intensive Care (ICU) with other resources. The outcome of this data processing supports the development of an Intelligent Decision Support System for Precision Medicine (IDDS4PM) by providing the possibility to analyze all the clinical events in one platform from the date/time of admission. Thus, to obtain the precise treatment, whole clinical data will be considered regardless of the diversity of data sources and frequency of data creation.