| scholarly article | Q13442814 |
| P50 | author | Antoine Pariente | Q37830242 |
| Julia Hippisley-Cox | Q42411198 | ||
| Miriam Sturkenboom | Q55807270 | ||
| Jan A Kors | Q56509036 | ||
| P2093 | author name string | Mariam Molokhia | |
| Nicholas Moore | |||
| Achille Patrizio Caputi | |||
| Gianluca Trifirò | |||
| Jan A Kors | |||
| Annie Fourrier-Reglat | |||
| Francesco Salvo | |||
| Johan van der Lei | |||
| Giovanni Polimeni | |||
| Preciosa M Coloma | |||
| Ghada Miremont-Salamé | |||
| Maria Antonietta Catania | |||
| Anaelle David | |||
| Carlos Diaz Acedo | |||
| EU-ADR group | |||
| P2860 | cites work | Adverse drug reactions | Q24524192 |
| Drug withdrawals from the Canadian market for safety reasons, 1963-2004. | Q33927245 | ||
| What is the best evidence for determining harms of medical treatment? | Q34425445 | ||
| Adverse drug reactions: finding the needle in the haystack | Q42785351 | ||
| P433 | issue | 12 | |
| P921 | main subject | data mining | Q172491 |
| electronic health records | Q10871684 | ||
| P304 | page(s) | 1176-1184 | |
| P577 | publication date | 2009-12-01 | |
| P1433 | published in | Pharmacoepidemiology and Drug Safety | Q15759496 |
| P1476 | title | Data mining on electronic health record databases for signal detection in pharmacovigilance: which events to monitor? | |
| P478 | volume | 18 |
| Q40160191 | A Method for the Minimization of Competition Bias in Signal Detection from Spontaneous Reporting Databases |
| Q30979182 | A Method to Combine Signals from Spontaneous Reporting Systems and Observational Healthcare Data to Detect Adverse Drug Reactions |
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| Q38647547 | A Pharmacoepidemiology Database System for Monitoring Risk Due to the Use of Medicines by New Zealand Primary Care Patients |
| Q55431478 | A Systematic Review on Healthcare Analytics: Application and Theoretical Perspective of Data Mining. |
| Q46050855 | A comparison of the empirical performance of methods for a risk identification system |
| Q35625186 | A drug-adverse event extraction algorithm to support pharmacovigilance knowledge mining from PubMed citations |
| Q41473316 | A mathematical framework to quantify the masking effect associated with the confidence intervals of measures of disproportionality |
| Q30812957 | A modular, prospective, semi-automated drug safety monitoring system for use in a distributed data environment. |
| Q28658495 | A pipeline to extract drug-adverse event pairs from multiple data sources |
| Q44018531 | A reference standard for evaluation of methods for drug safety signal detection using electronic healthcare record databases |
| Q34133890 | A systematic review of validated methods for identifying suicide or suicidal ideation using administrative or claims data |
| Q46036399 | AERS spider: an online interactive tool to mine statistical associations in Adverse Event Reporting System. |
| Q26824283 | Adverse Drug Reaction Identification and Extraction in Social Media: A Scoping Review |
| Q47399072 | An Automated System Combining Safety Signal Detection and Prioritization from Healthcare Databases: A Pilot Study. |
| Q39972477 | An automated technique to identify potential inappropriate traditional Chinese medicine (TCM) prescriptions. |
| Q37775961 | Anticipating drug side effects by comparative pharmacology |
| Q34090206 | Appropriateness of ambulatory prescriptions in Taiwan: translating claims data into initiatives. |
| Q38234453 | Ascertainment of acute liver injury in two European primary care databases. |
| Q30852962 | Assessing liver injury associated with antimycotics: Concise literature review and clues from data mining of the FAERS database |
| Q43934364 | Assessing the extent and impact of the masking effect of disproportionality analyses on two spontaneous reporting systems databases |
| Q28482131 | Automatic filtering and substantiation of drug safety signals |
| Q28295644 | Benfluorex and valvular heart disease: a cohort study of a million people with diabetes mellitus |
| Q33851671 | Bridging differences in outcomes of pharmacoepidemiological studies: design and first results of the PROTECT project |
| Q41226295 | Cheminformatics-aided pharmacovigilance: application to Stevens-Johnson Syndrome |
| Q37676434 | Classification-by-Analogy: Using Vector Representations of Implicit Relationships to Identify Plausibly Causal Drug/Side-effect Relationships |
| Q36771112 | Combing signals from spontaneous reports and electronic health records for detection of adverse drug reactions |
| Q26996499 | Combining multiple healthcare databases for postmarketing drug and vaccine safety surveillance: why and how? |
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| Q31003308 | Creating a Common Data Model for Comparative Effectiveness with the Observational Medical Outcomes Partnership |
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| Q38156066 | Defining a reference set to support methodological research in drug safety |
| Q38156063 | Desideratum for evidence based epidemiology |
| Q36771133 | Design and validation of an automated method to detect known adverse drug reactions in MEDLINE: a contribution from the EU-ADR project. |
| Q66680706 | Detection and Analysis of Drug Misuses. A Study Based on Social Media Messages |
| Q36936563 | Detection of pharmacovigilance-related adverse events using electronic health records and automated methods |
| Q38093266 | Development of a detection algorithm for statin-induced myopathy using electronic medical records |
| Q24288975 | Does design matter? Systematic evaluation of the impact of analytical choices on effect estimates in observational studies |
| Q34226785 | Early steps in the development of a claims-based targeted healthcare safety monitoring system and application to three empirical examples. |
| Q53668416 | Electronic healthcare databases for active drug safety surveillance: is there enough leverage? |
| Q45908499 | Empirical performance of a new user cohort method: lessons for developing a risk identification and analysis system. |
| Q53128859 | Empirical performance of a self-controlled cohort method: lessons for developing a risk identification and analysis system. |
| Q45310040 | Empirical performance of the self-controlled case series design: lessons for developing a risk identification and analysis system |
| Q30876081 | Evaluating performance of electronic healthcare records and spontaneous reporting data in drug safety signal detection |
| Q89135369 | Evaluating statistical approaches to leverage large clinical datasets for uncovering therapeutic and adverse medication effects |
| Q54583658 | Exploring the Potential Routine Use of Electronic Healthcare Record Data to Strengthen Early Signal Assessment in UK Medicines Regulation: Proof-of-Concept Study. |
| Q28536855 | Gathering and exploring scientific knowledge in pharmacovigilance |
| Q36914069 | Good Signal Detection Practices: Evidence from IMI PROTECT |
| Q28709512 | Harmonization process for the identification of medical events in eight European healthcare databases: the experience from the EU-ADR project |
| Q37676469 | Hypothesis-Free Search for Connections between Birth Month and Disease Prevalence in Large, Geographically Varied Cohorts |
| Q28650098 | Identifying plausible adverse drug reactions using knowledge extracted from the literature |
| Q51877937 | Idiopathic acute liver injury in paediatric outpatients: incidence and signal detection in two European countries. |
| Q37810421 | Improving the Reporting of Adverse Drug Reactions in the Hospital Setting |
| Q37271421 | Learning signals of adverse drug-drug interactions from the unstructured text of electronic health records |
| Q28658935 | Linked health data for pharmacovigilance in children: perceived legal and ethical issues for stakeholders and data guardians |
| Q37257431 | Longitudinal medical records as a complement to routine drug safety signal analysis |
| Q38390830 | MedDRA® automated term groupings using OntoADR: evaluation with upper gastrointestinal bleedings |
| Q36519186 | Methods for identifying suicide or suicidal ideation in EHRs. |
| Q44301592 | Methods for retrospective detection of drug safety signals and adverse events in electronic general practice records |
| Q37598930 | Mining clinical text for signals of adverse drug-drug interactions |
| Q39869491 | Multi-centre, multi-database studies with common protocols: lessons learnt from the IMI PROTECT project. |
| Q90264133 | Ontological and Non-Ontological Resources for Associating Medical Dictionary for Regulatory Activities Terms to SNOMED Clinical Terms With Semantic Properties |
| Q34154208 | Patient stratification and identification of adverse event correlations in the space of 1190 drug related adverse events |
| Q44280390 | Pediatric drug safety surveillance in Italian pharmacovigilance network: an overview of adverse drug reactions in the years 2001 - 2012. |
| Q37378299 | Performance of pharmacovigilance signal-detection algorithms for the FDA adverse event reporting system |
| Q40165805 | Pharmacogenetics at 50: genomic personalization comes of age. |
| Q38217626 | Pharmacogenovigilance: a pharmacogenomics pharmacovigilance program |
| Q30058397 | Pharmacovigilance Using Clinical Notes |
| Q35183601 | Pharmacovigilance in oncology: evaluation of current practice and future perspectives. |
| Q90248823 | Pharmacovigilance in perspective: drug withdrawals, data mining and policy implications |
| Q38078815 | Postmarketing safety surveillance : where does signal detection using electronic healthcare records fit into the big picture? |
| Q57425397 | Predicting Adverse Drug Effects from Literature- and Database-Mined Assertions |
| Q45138901 | Quantitative benefit-risk assessment using only qualitative information on utilities. |
| Q64241644 | Semantic Queries Expedite MedDRA Terms Selection Thanks to a Dedicated User Interface: A Pilot Study on Five Medical Conditions |
| Q47736466 | Signal Detection for Recently Approved Products: Adapting and Evaluating Self-Controlled Case Series Method Using a US Claims and UK Electronic Medical Records Database. |
| Q37723303 | Signal Detection of Imipenem Compared to Other Drugs from Korea Adverse Event Reporting System Database |
| Q30706851 | Signal detection and monitoring based on longitudinal healthcare data |
| Q38180415 | Signal detection of potentially drug-induced acute liver injury in children using a multi-country healthcare database network |
| Q34996701 | Structured assessment for prospective identification of safety signals in electronic medical records: evaluation in the health improvement network |
| Q64258625 | Suspected Adverse Drug Reactions Related to Breast Cancer Chemotherapy: Disproportionality Analysis of the Brazilian Spontaneous Reporting System |
| Q42679414 | The EU-ADR Web Platform: delivering advanced pharmacovigilance tools |
| Q39869520 | The IMI PROTECT project: purpose, organizational structure, and procedures. |
| Q35972250 | The role of electronic healthcare record databases in paediatric drug safety surveillance: a retrospective cohort study |
| Q30796597 | Toward enhanced pharmacovigilance using patient-generated data on the internet |
| Q27335410 | Useful Interplay Between Spontaneous ADR Reports and Electronic Healthcare Records in Signal Detection |
| Q30875888 | Using real-world healthcare data for pharmacovigilance signal detection - the experience of the EU-ADR project |
| Q38156064 | Variation in choice of study design: findings from the Epidemiology Design Decision Inventory and Evaluation (EDDIE) survey |
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