Martijn J. Schuemie mainly investigates Observational study, Database, Cohort study, Intensive care medicine and Relative risk. His work on Observational Studies as Topic as part of general Observational study study is frequently linked to Informatics, bridging the gap between disciplines. Martijn J. Schuemie has researched Database in several fields, including Postmarketing surveillance and Data extraction.
The concepts of his Cohort study study are interwoven with issues in Meta-analysis, Pediatrics and Hazard ratio. His Intensive care medicine study incorporates themes from Systematic review, Adverse effect, Randomized controlled trial and Set. Martijn J. Schuemie interconnects Data collection, Research design, Clinical study design, Study heterogeneity and Concomitant drug in the investigation of issues within Relative risk.
His main research concerns Observational study, Database, Internal medicine, Cohort study and Information retrieval. Martijn J. Schuemie combines subjects such as Confounding, Propensity score matching and Data science with his study of Observational study. His Database research is multidisciplinary, incorporating elements of Pharmacovigilance, Drug, Postmarketing surveillance and Scale.
Martijn J. Schuemie studied Drug and Adverse effect that intersect with Set and Intensive care medicine. His Cohort study research integrates issues from Cohort, Relative risk, Retrospective cohort study, Hazard ratio and Veterans Affairs. His biological study spans a wide range of topics, including Web service, Text mining, Natural language processing, Artificial intelligence and Named-entity recognition.
His primary scientific interests are in Observational study, Internal medicine, Hazard ratio, Cohort study and Propensity score matching. His studies deal with areas such as Meta-analysis, Publication bias, Data science and Database as well as Observational study. His research in Database is mostly concerned with Identification.
The Hazard ratio study combines topics in areas such as Lower risk, Proportional hazards model, Heart failure and Type 2 Diabetes Mellitus. His Cohort study study integrates concerns from other disciplines, such as Relative risk, Adverse effect, Rheumatoid arthritis and Veterans Affairs. His Propensity score matching research is multidisciplinary, relying on both Gastroenterology, Calcium channel blocker, Confidence interval, Clinical endpoint and Confounding.
His scientific interests lie mostly in Cohort study, Internal medicine, Hazard ratio, Retrospective cohort study and Veterans Affairs. His work deals with themes such as Young adult, Rheumatoid arthritis, Adult patients and Comorbidity, which intersect with Cohort study. His research in the fields of Stroke, Acute coronary syndrome, Conventional PCI and Adverse effect overlaps with other disciplines such as Hydroxychloroquine.
His research in Hazard ratio intersects with topics in Relative risk, Lower risk and Cohort. As part of his studies on Relative risk, he often connects relevant subjects like Observational study. His study in Retrospective cohort study is interdisciplinary in nature, drawing from both Odds ratio, Contrast, Covariate, Econometrics and Replicate.
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Research on presence in virtual reality: a survey.
Martijn J. Schuemie;Peter van der Straaten;Merel Krijn;Charles A.P.G. van der Mast.
Cyberpsychology, Behavior, and Social Networking (2001)
Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers
George Hripcsak;Jon D. Duke;Nigam H. Shah;Christian G. Reich.
Studies in health technology and informatics (2015)
Virtual reality treatment versus exposure in vivo: a comparative evaluation in acrophobia.
P.M.G Emmelkamp;M Krijn;A.M Hulsbosch;S de Vries.
Behaviour Research and Therapy (2002)
Overview of BioCreative II gene normalization.
Alexander A. Morgan;Zhiyong Lu;Xinglong Wang;Aaron M. Cohen.
Genome Biology (2008)
Combining electronic healthcare databases in Europe to allow for large-scale drug safety monitoring: the EU-ADR Project.
Preciosa M. Coloma;Martijn J. Schuemie;Gianluca Trifirò;Rosa Gini.
Pharmacoepidemiology and Drug Safety (2011)
A dictionary to identify small molecules and drugs in free text
Kristina M. Hettne;Rob H. Stierum;Martijn J. Schuemie;Peter J. M. Hendriksen.
Anni 2.0: a multipurpose text-mining tool for the life sciences
Rob Jelier;Martijn J Schuemie;Antoine Veldhoven;Lambert C J Dorssers.
Genome Biology (2008)
Feasibility and utility of applications of the common data model to multiple, disparate observational health databases
Erica A. Voss;Rupa Makadia;Amy Matcho;Qianli Ma.
Journal of the American Medical Informatics Association (2015)
Evaluating the Impact of Database Heterogeneity on Observational Study Results
David Madigan;Patrick B. Ryan;Martijn Schuemie;Paul E. Stang.
American Journal of Epidemiology (2013)
Distribution of information in biomedical abstracts and full-text publications
M. J. Schuemie;M. Weeber;B. J. A. Schijvenaars;E. M. Van Mulligen.
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