01 | ̼ | TopicSem |
18 | ̼ | Analysis of safety reporting requirements during medical device clinical trials in Japan. | ![]() |
J.Club |
23 | ̼ | K-CDM & K-Sentinel: Progression of active pharmacovigilance system in Korea | TopicSem |
23 | ̼ | Warfarin and NOAC (Novel Oral AntiCoagulants) analysis using K-CDM PV | TopicSem |
21 | ̼ | RS-ADR: A reference standard for detection of adverse drug reaction signals using electronic health records database and web site demo | TopicSem |
08 | ̼ | Data-driven knowledgebase for pharmacovigilance using electronic health records database | TopicSem |
29 | ̼ | K-CDM scenario of vancomycin associated acute kidney Injury | TopicSem |
04 | ̼ | Evaluating common data models for use with a longitudinal community registry | ![]() |
J.Club |
13 | ̼ | K-CDM Allopurinol Scenario | TopicSem |
02 | ̼ | K-CDM Structure and Future Works for Drug Safety | TopicSem | |
25 | ̼ | K-CDM scenario and review of standardized large-scale analytics tools under development within OHDSI. | BioEMR |
09 | ̼ | K-CDM ϴ뵥 ETL | BioEMR | |
23 | ̼ | Summary of Sentinel Operations Center meeting and K-CDM elaboration plan | TopicSem |
12 | ̼ | K-CDM | BioEMR | |
26 | ̼ | K-CDM ETL test result using SNUH data | TopicSem |
05 | ̼ | K-CDM specification version 1.0 | BioEMR |
18 | ̼ | K-Sentinel overview and plan | BioEMR | |
20 | ̼ | MetaLAB and MetaNurse algorithm review | TopicSem |
02 | ̼ | OMOP CDM and sentinel CDM review | BioEMR | |
09 | ̼ | Application of common data model for ADR detection using MetaLAB, MetaNurse | TopicSem |
25 | ̼ | OMOP CDM and sentinel CDM review | BioEMR |
21 | ̼ | Development common data model for ADR detection | BioEMR | |
30 | ̼ | RS-ADR : A reference standard for detection of adverse drug reaction signals using electronic health records database | TopicSem |
04 | ̼ | RS-ADR Figures & Tables | TopicSem |
24 | ̼ | Feasibility and utility of applications of the common data model to multiple, disparate observational health databases | ![]() |
J.Club |
23 | ̼ | RS-ADR related study review andPart2 process | TopicSem | |
24 | ̼ | Controlled vocabulary annotation strategy | BioEMR | |
24 | ̼ | Controlled vocabulary annotation strategy | BioEMR |
08 | ̼ | Similarity-Based Modeling Applied to Signal Detection in Pharmacovigilance | ![]() |
J.Club |
12 | ̼ | Overall concepts of RS-ADR and Implementation Status | TopicSem | |
19 | ̼ | RS-ADR analysis result | BioEMR |
08 | ̼ | RS-ADR concept and Reference set construction (Part 1) | TopicSem | |
15 | ̼ | Part 3. Pharmacovigilance distributed analysis result | BioEMR |
03 | ̼ | RS-ADR 1.0 update lists | BioEMR | |
08 | ̼ | RS-ADR 1.0 update lists | TopicSem |
04 | ̼ | ADR Signals of MetaNurse and MetaLAB algorithms Release Plan | TopicSem | |
30 | ̼ | Systems Pharmacology Augments DrugSafety Surveillance | ![]() |
J.Club |
01 | ̼ | RS-ADRs laboratory test mapping strategyand RS-ADRs version2 plan | TopicSem | |
29 | ̼ | ADR Signals of MetaNurse and MetaLAB algorithms Release Plan | BioEMR |
08 | ̼ | Figure and table of MetaLAB, MetaNurse algorithm result | TopicSem | |
17 | ̼ | Evaluation result of RS-ADRs | BioEMR |
05 | ̼ | 101 drugs analysis result | BioEMR |
18 | ̼ | The U.S. Food and Drug Administrations Mini-Sentinel program: status and direction | ![]() |
J.Club |
27 | ̼ | Statin data extraction and preprocessing result | TopicSem |
24 | ̼ | 101 drug analysis result using Meta CLEAR and Meta Nurse algorithm | TopicSem | |
24 | ̼ | Statin study overview and progress | BioEMR |
13 | ̼ | Early detection of pharmacovigilance signals using controlled vocabularies | BioEMR | |
17 | ̼ | Research issues and additional analysis plan | TopicSem |
12 | ̼ | Study design for CLEAR_Orig, CLEAR_Modi, CLEAR_Nurs using nursing data and lab data. | TopicSem |
18 | ̼ | Comparative analysis of CLEAR algorithm in detection of adverse drug reactions | TopicSem |
02 | ̼ | aripiprazole data preprocessing summary | TopicSem | |
17 | ̼ | ADR ڰ | BioEMR | |
25 | ̼ | ADR analysis result and figure using ampotericin, methotrexate | TopicSem |
17 | ̼ | Effect of Direct-to-Consumer Genomewide Profiling to Assess Disease Risk | ![]() |
J.Club |
15 | ̼ | Preliminary result of Amphotericin case and overall analysis strategy | TopicSem | |
16 | ̼ | Ҿƾ Ȯ | BioEMR |
02 | ̼ | Comparison of the Nursing Narrative Ratio (CoNNR) algorithm | TopicSem | |
19 | ̼ | The EU-ADR Web Platform: delivering advanced pharmacovigilance tools. | ![]() |
J.Club |
05 | ̼ | Drug Utilization Surveillance System (DUSS) | TopicSem | |
06 | ̼ | Network Biology and Medicine team topic summary | xMutant |
10 | ̼ | Drug Surveillance realated study and idea | BioEMR | |
24 | ̼ | Avatar team topic summary (Agent, Drug Surveillance System) | BioEMR | |
31 | ̼ | OMOP Data | BioEMR |
29 | ̼ | Drug surveillance based on observation medical dataset. | TopicSem |
17 | ̼ | Biological Process-Drug-Side effect Network construction plan | xMutant | |
18 | ̼ | Patients matching result of exposure group, non-exposure group and analysis preview | TopicSem |
01 | ̼ | Dataset construction of drug exposure group and non-exposure group | TopicSem |
12 | ̼ | a method for encoding clinical datasets with SNOMED-CT | ![]() |
J.Club |
14 | ̼ | Distribution of standardized nursing statement sets in diabetes medications | TopicSem | |
21 | ̼ | nimi-j | BioEMR |
19 | ̼ | ADR signal detection using standardized nursing statement | TopicSem |
01 | ̼ | Data extract process and distribution of dataset | TopicSem | |
29 | ̼ | Detection of adverse drug reaction using the nurse information | TopicSem |
02 | ̼ | Comparison of MAGE-ML and MAGE-TAB | xMutant | |
15 | ̼ | Database Review and progress of GEO project | Seminar |
29 | ̼ | 2 Ʈ ȹ | BioEMR |
28 | ̼ | Data mart | Seminar |