UB Paderborn / Katalog / Suche / in CDI

A Large-Scale COVID-19 Twitter Chatter Dataset for Open Scientific Research-An International Collaboration

Epidemiolgia (Basel, Switzerland), 2021-08, Vol.2 (3), p.315-324

2021

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Characterizing treatment pathways at scale using the OHDSI network

Proceedings of the National Academy of Sciences - PNAS, 2016-07, Vol.113 (27), p.7329-7336

2016

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Characterizing all-cause excess mortality patterns during COVID-19 pandemic in Mexico

BMC infectious diseases, 2021-05, Vol.21 (1), p.432-432, Article 432

2021

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Changes in Public Response Associated With Various COVID-19 Restrictions in Ontario, Canada: Observational Infoveillance Study Using Social Media Time Series Data

Journal of medical Internet research, 2021-08, Vol.23 (8), p.e28716-e28716

2021

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Social Media Mining Toolkit (SMMT)

Genomics & informatics, 2020-06, Vol.18 (2), p.e16-e16

2020

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Ten simple rules to run a successful BioHackathon

PLoS computational biology, 2020-05, Vol.16 (5), p.e1007808-e1007808

2020

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Transmission dynamics and forecasts of the COVID-19 pandemic in Mexico, March-December 2020

PloS one, 2021-07, Vol.16 (7), p.e0254826-e0254826

2021

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A curated and standardized adverse drug event resource to accelerate drug safety research

Scientific data, 2016-05, Vol.3 (1), p.160026, Article 160026

2016

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Negative Perception of the COVID-19 Pandemic Is Dropping: Evidence From Twitter Posts

Frontiers in psychology, 2021-09, Vol.12, p.737882-737882

2021

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Fully connecting the Observational Health Data Science and Informatics (OHDSI) initiative with the world of linked open data

Genomics & Informatics, 2019, 17(2), , pp.13-13

Banda, Juan M

2019

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Feasibility of Prioritizing Drug–Drug-Event Associations Found in Electronic Health Records

Drug safety, 2016-01, Vol.39 (1), p.45-57

2016

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Precision screening for familial hypercholesterolaemia: a machine learning study applied to electronic health encounter data

The Lancet. Digital health, 2019-12, Vol.1 (8), p.e393-e402

2019

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Using weak supervision to generate training datasets from social media data: a proof of concept to identify drug mentions

Neural computing & applications, 2023-09, Vol.35 (25), p.18161-18169

2023

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A Minimal Information Model for Potential Drug-Drug Interactions

Frontiers in pharmacology, 2021-03, Vol.11, p.608068

2021

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Learning statistical models of phenotypes using noisy labeled training data

Journal of the American Medical Informatics Association : JAMIA, 2016-11, Vol.23 (6), p.1166-1173

2016

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Pulse of the pandemic: Iterative topic filtering for clinical information extraction from social media

Journal of biomedical informatics, 2021-08, Vol.120, p.103844-103844, Article 103844

2021

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ACE: the Advanced Cohort Engine for searching longitudinal patient records

Journal of the American Medical Informatics Association : JAMIA, 2021-07, Vol.28 (7), p.1468-1479

2021

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Overview of the 8th Social Media Mining for Health Applications (#SMM4H) shared tasks at the AMIA 2023 Annual Symposium

Journal of the American Medical Informatics Association : JAMIA, 2024-04, Vol.31 (4), p.991-996

2024

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Development and validation of phenotype classifiers across multiple sites in the observational health data sciences and informatics network

Journal of the American Medical Informatics Association : JAMIA, 2020-06, Vol.27 (6), p.877-883

2020

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LatinX in AI research

Neural computing & applications, 2023-09, Vol.35 (25), p.18097-18098

2023

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Clinical decision support tool for phototherapy initiation in preterm infants

Journal of perinatology, 2020-10, Vol.40 (10), p.1518-1523

2020

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Characterization of Anonymous Physician Perspectives on COVID-19 Using Social Media Data

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2021, Vol.26, p.95

2021

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Risk of angioedema associated with levetiracetam compared with phenytoin: Findings of the observational health data sciences and informatics research network

Epilepsia (Copenhagen), 2017-08, Vol.58 (8), p.e101-e106

2017

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A large-scale solar dynamics observatory image dataset for computer vision applications

Scientific data, 2017-07, Vol.4 (1), p.170096-170096, Article 170096

2017

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Representing and utilizing clinical textual data for real world studies: An OHDSI approach

Journal of biomedical informatics, 2023-06, Vol.142, p.104343-104343, Article 104343

2023

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A Large-Scale COVID-19 Twitter Chatter Dataset for Open Scientific Research-An International Collaboration

Characterizing treatment pathways at scale using the OHDSI network

Characterizing all-cause excess mortality patterns during COVID-19 pandemic in Mexico

Changes in Public Response Associated With Various COVID-19 Restrictions in Ontario, Canada: Observational Infoveillance Study Using Social Media Time Series Data

Social Media Mining Toolkit (SMMT)

Ten simple rules to run a successful BioHackathon

Transmission dynamics and forecasts of the COVID-19 pandemic in Mexico, March-December 2020

A curated and standardized adverse drug event resource to accelerate drug safety research

Negative Perception of the COVID-19 Pandemic Is Dropping: Evidence From Twitter Posts

Fully connecting the Observational Health Data Science and Informatics (OHDSI) initiative with the world of linked open data

Feasibility of Prioritizing Drug–Drug-Event Associations Found in Electronic Health Records

Precision screening for familial hypercholesterolaemia: a machine learning study applied to electronic health encounter data

Using weak supervision to generate training datasets from social media data: a proof of concept to identify drug mentions

A Minimal Information Model for Potential Drug-Drug Interactions

Learning statistical models of phenotypes using noisy labeled training data

Pulse of the pandemic: Iterative topic filtering for clinical information extraction from social media

ACE: the Advanced Cohort Engine for searching longitudinal patient records

Overview of the 8th Social Media Mining for Health Applications (#SMM4H) shared tasks at the AMIA 2023 Annual Symposium

Development and validation of phenotype classifiers across multiple sites in the observational health data sciences and informatics network

LatinX in AI research

Clinical decision support tool for phototherapy initiation in preterm infants

Characterization of Anonymous Physician Perspectives on COVID-19 Using Social Media Data

Risk of angioedema associated with levetiracetam compared with phenytoin: Findings of the observational health data sciences and informatics research network

A large-scale solar dynamics observatory image dataset for computer vision applications

Representing and utilizing clinical textual data for real world studies: An OHDSI approach

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