A scalable approach for developing clinical risk prediction applications in different hospitals
Open Access
- 20 April 2021
- journal article
- research article
- Published by Elsevier BV in Journal of Biomedical Informatics
- Vol. 118, 103783
- https://doi.org/10.1016/j.jbi.2021.103783
Abstract
No abstract availableFunding Information
- Ruhr-Universität Bochum
This publication has 27 references indexed in Scilit:
- "Why Should I Trust You?"Published by Association for Computing Machinery (ACM) ,2016
- Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic reviewJournal of the American Medical Informatics Association, 2016
- DELirium Prediction Based on Hospital Information (Delphi) in General Surgery PatientsMedicine, 2016
- The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)JAMA, 2016
- SMART on FHIR: a standards-based, interoperable apps platform for electronic health recordsJournal of the American Medical Informatics Association, 2016
- Issues in Achieving Complete Interoperability while Sharing Electronic Health RecordsProcedia Computer Science, 2016
- Semantic processing of EHR data for clinical researchJournal of Biomedical Informatics, 2015
- KDIGO Clinical Practice Guidelines for Acute Kidney InjuryNephron Clinical Practice, 2012
- Delirium: an update on diagnosis, treatment and preventionClinical Medicine, 2006
- Clarifying Confusion: The Confusion Assessment MethodAnnals of Internal Medicine, 1990