Work

Detecting inappropriate access to electronic health records using collaborative filtering

Year: 2013

Type: article

Source: Machine Learning

DOI: 10.1007/s10994-013-5376-1

Authors: Aditya Krishna Menon, Xiaoqian Jiang, Jihoon Kim, Jaideep Vaidya, Lucila Ohno-Machado

Institutions: University of California San Diego, Rutgers, The State University of New Jersey

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: National Institutes of Health, Agency for Healthcare Research and Quality, National Heart, Lung, and Blood Institute, U.S. National Library of Medicine, National Center for Research Resources

Awards: San Diego Clinical and Translational Research Institute, G2143367978, iDASH: Integrating Data for Analysis, Anonymization, and Sharing, Protection of Records: Privacy (PReP) Technology for Medical Research, Protection of Records: Privacy (PReP) Technology for Medical Research, SCANNER: SCALABLE NATIONAL NETWORK FOR EFFECTIVENESS RESEARCH, Assessing quality of individual predictions in medical decision support systems

OpenAlex ID: W2115470731

FWCI: 3.099

Cites: 23

Cited by: 43

Related to: 10