Work

Temporal Poisson Square Root Graphical Models.

Year: 2018

Type: article

Abstract: for recovering the underlying PSQR. Empirically, we learn TPSQRs from Marshfield Clinic electronic health records (EHRs) with millions of drug prescription and condition diagnosis events, for adverse drug reaction (ADR) detection. Experimental results demonstrate that the learned TPSQRs can recover ADR signals from the EHR effectively and efficiently.

Source: PubMed

Authors: Sinong Geng, Zhaobin Kuang, Peggy Peissig, David Page

Institutions: University of Wisconsin–Madison, Marshfield Clinic Research Foundation, Marshfield Clinic Research Institute

Language: English

Topic: Pharmacovigilance and Adverse Drug Reactions

Subfield: Toxicology

Field: Pharmacology, Toxicology and Pharmaceutics

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institute of General Medical Sciences, National Institute of Allergy and Infectious Diseases

Awards: The Center for Predictive Computational Phenotyping-1 Overall, Machine Learning for Identifying Adverse Drug Events