about
A curated and standardized adverse drug event resource to accelerate drug safety researchCharacterizing treatment pathways at scale using the OHDSI networkLearning statistical models of phenotypes using noisy labeled training data.Feasibility of Prioritizing Drug-Drug-Event Associations Found in Electronic Health Records.A large-scale solar dynamics observatory image dataset for computer vision applications.Risk of angioedema associated with levetiracetam compared with phenytoin: Findings of the observational health data sciences and informatics research network.Advances in Electronic Phenotyping: From Rule-Based Definitions to Machine Learning ModelsAssociation of Hemoglobin A1c Levels With Use of Sulfonylureas, Dipeptidyl Peptidase 4 Inhibitors, and Thiazolidinediones in Patients With Type 2 Diabetes Treated With MetforminAssessing the potential impact of vector-borne disease transmission following heavy rainfall events: a mathematical frameworkFinding missed cases of familial hypercholesterolemia in health systems using machine learningFully connecting the Observational Health Data Science and Informatics (OHDSI) initiative with the world of linked open dataTen simple rules to run a successful BioHackathon
P50
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P50
description
hulumtues
@sq
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Juan M Banda
@es
Juan M Banda
@nl
Juan M Banda
@sl
Juan M. Banda
@en
type
label
Juan M Banda
@es
Juan M Banda
@nl
Juan M Banda
@sl
Juan M. Banda
@en
prefLabel
Juan M Banda
@es
Juan M Banda
@nl
Juan M Banda
@sl
Juan M. Banda
@en
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0000-0001-8499-824X