Data Mining
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Subject Areas on Research
- A comparison of information functions and search strategies for sensor planning in target classification.
- A cross-sectional analysis of HIV and hepatitis C clinical trials 2007 to 2010: the relationship between industry sponsorship and randomized study design.
- Affinity Chart Analysis: A Method for Structured Collection, Aggregation, and Response to Customer Needs in Radiology.
- Age-related differences in reporting of drug-associated liver injury: data-mining of WHO Safety Report Database.
- An atlas of genetic influences on human blood metabolites.
- Analysing breast cancer microarrays from African Americans using shrinkage-based discriminant analysis.
- Annotation of phenotypes using ontologies: a gold standard for the training and evaluation of natural language processing systems.
- Ascertainment of colonoscopy indication using administrative data.
- Atypical antipsychotic drugs and diabetes mellitus in the US Food and Drug Administration Adverse Event database: a systematic Bayesian signal detection analysis.
- Automated versus Manual Data Extraction of the Padua Prediction Score for Venous Thromboembolism Risk in Hospitalized Older Adults.
- Bioinformatic challenges in targeted proteomics.
- CKD as a Model for Improving Chronic Disease Care through Electronic Health Records.
- COMPASS-CP: An Electronic Application to Capture Patient-Reported Outcomes to Develop Actionable Stroke and Transient Ischemic Attack Care Plans.
- Comedications alter drug-induced liver injury reporting frequency: Data mining in the WHO VigiBase™.
- Comparison of Outcomes Following a Switch From a Brand to an Authorized Versus Independent Generic Drug.
- Culture counts--sustainable inpatient computerized surveillance across Duke University Health System.
- Data mining in psychological treatment research: a primer on classification and regression trees.
- Design and Implementation of a Comprehensive Surveillance System for Venous Thromboembolism in a Defined Region Using Electronic and Manual Approaches.
- Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site study.
- Development of predictive risk models for major adverse cardiovascular events among patients with type 2 diabetes mellitus using health insurance claims data.
- Electronic health records to facilitate clinical research.
- Evaluative Outcomes in Direct Extraction and Use of EHR Data in Clinical Trials.
- Four health data networks illustrate the potential for a shared national multipurpose big-data network.
- GREAT improves functional interpretation of cis-regulatory regions.
- Generating a focused view of disease ontology cancer terms for pan-cancer data integration and analysis.
- Genomics, clinical research, and learning health care systems: Strategies to improve patient care.
- Large clinical databases for the study of lung cancer: Making up for the failure of randomized trials.
- Large-scale evaluation of automated clinical note de-identification and its impact on information extraction.
- MSIseq: Software for Assessing Microsatellite Instability from Catalogs of Somatic Mutations.
- Moving the mountain: analysis of the effort required to transform comparative anatomy into computable anatomy.
- Multiscale gigapixel photography.
- Natural variation in CDC28 underlies morphological phenotypes in an environmental yeast isolate.
- Near-term prediction of sudden cardiac death in older hemodialysis patients using electronic health records.
- Neuropsychiatric adverse effects of oseltamivir in the FDA Adverse Event Reporting System, 1999-2012.
- Opportunities for the Cardiovascular Community in the Precision Medicine Initiative.
- Pediatric post-marketing safety systems in North America: assessment of the current status.
- Performance of a Machine Learning Classifier of Knee MRI Reports in Two Large Academic Radiology Practices: A Tool to Estimate Diagnostic Yield.
- Predicting mortality over different time horizons: which data elements are needed?
- Registry Assessment of Peripheral Interventional Devices (RAPID): Registry assessment of peripheral interventional devices core data elements.
- Relational machine learning for electronic health record-driven phenotyping.
- Reply to Comment on "Use of Patient Registries and Administrative Datasets for the Study of Pediatric Cancer".
- Report of the National Heart, Lung, and Blood Institute Working Group: An Integrated Network for Congenital Heart Disease Research.
- Selection of Informative Examples in Chemogenomic Datasets.
- SplicerAV: a tool for mining microarray expression data for changes in RNA processing.
- Text data extraction for a prospective, research-focused data mart: implementation and validation.
- The PCORnet Blood Pressure Control Laboratory: A Platform for Surveillance and Efficient Trials.
- The coming age of data-driven medicine: translational bioinformatics' next frontier.
- The concept of crosstalk-directed embryological target mining and its application to essential hypertension treatment failures.
- The influence of drug properties and host factors on delayed onset of symptoms in drug-induced liver injury.
- The use of big data in manual physiotherapy.
- Thoroughly modern risk prediction?
- Uncovering cyberincivility among nurses and nursing students on Twitter: A data mining study.
- Use of patient registries and administrative datasets for the study of pediatric cancer.
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Keywords of People
- Bradbury, Kyle, Assistant Research Professor in the Department of Electrical and Computer Engineering, Duke University Energy Initiative
- Fisher, Deborah Anne, Associate Professor of Medicine, Medicine, Gastroenterology
- Ma, Li, Associate Professor of Statistical Science, Statistical Science
- Pang, Herbert, Adjunct Assistant Professor in the Department of Biostatistics and Bioinformatics, Biostatistics & Bioinformatics
- Rusincovitch, Shelley, Assoc Dir, IT, Biostatistics & Bioinformatics
- Tenenbaum, Jessica Dale, Assistant Professor of Biostatistics and Bioinformatics, Duke Science & Society
- Tsalik, Ephraim, Associate Professor of Medicine, Molecular Genetics and Microbiology