Observational Health Data Sciences and Informatics

User Tools

Site Tools

Trace: • large-scale_modeling_of_patients_with_thyroid_conditions • sidebar • sidebar • architecture • bdpm • test_charts • playground • tobacco • women_of_ohdsi • meeting_notes_2017_may_02
resources:ohdsi_symposium_2016_posters

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
resources:ohdsi_symposium_2016_posters [2016/10/27 20:35] – maura_beatonresources:ohdsi_symposium_2016_posters [2016/11/28 22:16] (current) – maura_beaton
Line 13: Line 13:
   * 4. {{:symposium_2016:poster_ohdsi_symposium_2016_auh_v2_3_.pdf|Automatic Mapping of Drug Concepts to the RxNorm Vocabulary}}   * 4. {{:symposium_2016:poster_ohdsi_symposium_2016_auh_v2_3_.pdf|Automatic Mapping of Drug Concepts to the RxNorm Vocabulary}}
   * 5. {{:symposium_2016:ohdsi_gis_rmiller.pdf|OHDSI GIS: Gaia}}   * 5. {{:symposium_2016:ohdsi_gis_rmiller.pdf|OHDSI GIS: Gaia}}
-  * 6. {{:symposium_2016:transforming_the_2.33m-patient_medicare_synthetic_public_use_files_to_the_omop_cdmv5_-_etl-cms_software_and_processed_data_available_and_feature-complete.pdf|Transforming the 2.33M-patient Medicare synthetic public use files to the OMOP CDMv5: ETL-CMS software and processed data available and feature-complete}}+  * 6. BEST POSTER: {{:symposium_2016:transforming_the_2.33m-patient_medicare_synthetic_public_use_files_to_the_omop_cdmv5_-_etl-cms_software_and_processed_data_available_and_feature-complete.pdf|Transforming the 2.33M-patient Medicare synthetic public use files to the OMOP CDMv5: ETL-CMS software and processed data available and feature-complete}}
   * 7. {{:resources:ohdsi_2016_cho_natarajan.pdf|Comparison and Evaluation on Online Geocoding Services}}   * 7. {{:resources:ohdsi_2016_cho_natarajan.pdf|Comparison and Evaluation on Online Geocoding Services}}
   * 8. {{:resources:ims_odhsi_2016_poster.pdf|Assessing Data Availability for Pharmacoepidemiology Research    * 8. {{:resources:ims_odhsi_2016_poster.pdf|Assessing Data Availability for Pharmacoepidemiology Research 
Line 27: Line 27:
   * 4. {{:resources:ohdsi_symposium_2016_yahi_final.pdf|Natural Language Processing in Clinical and Translational Research: Of the Importance of Section Headers for Accurate Modifiers Assignments}}   * 4. {{:resources:ohdsi_symposium_2016_yahi_final.pdf|Natural Language Processing in Clinical and Translational Research: Of the Importance of Section Headers for Accurate Modifiers Assignments}}
   * 5. {{:symposium_2016:ohdsi_symposium_2016_poster_hsu.pdf|Scalable Cohort Construction}}   * 5. {{:symposium_2016:ohdsi_symposium_2016_poster_hsu.pdf|Scalable Cohort Construction}}
-  * 6. {{:symposium_2016:local_control_for_bias_correction_of_time-to-event_observational_studies.pdf|Local Control for bias correction of time-to-event observational studies}}+  * 6. BEST POSTER: {{:symposium_2016:local_control_for_bias_correction_of_time-to-event_observational_studies.pdf|Local Control for bias correction of time-to-event observational studies}}
   * 7. {{:resources:ohdsi_2016_MIMIC_causal_benchmark_ver_for_print.pdf|An Open Benchmark for Causal Inference Using the MIMIC-III and Philips Datasets}}   * 7. {{:resources:ohdsi_2016_MIMIC_causal_benchmark_ver_for_print.pdf|An Open Benchmark for Causal Inference Using the MIMIC-III and Philips Datasets}}
   * 8. {{:symposium_2016:large_scale_analysis_presented.pdf|Utilizing the OHDSI collaborative network for large-scale prognostic model validation}}   * 8. {{:symposium_2016:large_scale_analysis_presented.pdf|Utilizing the OHDSI collaborative network for large-scale prognostic model validation}}
Line 36: Line 36:
  
 Analytics, Technology and Infrastructure Analytics, Technology and Infrastructure
-  * 1. {{:resources:chronos_poster.pdf|CHRONOS, patient profile poster}}+  * 1. BEST POSTER: {{:resources:chronos_poster.pdf|CHRONOS, patient profile poster}}
   * 2.{{:symposium_2016:mobile_health_iphone_app_for_precision_medicine_alzheimer_s_research_using_omop_cdm.pdf|Mobile Health iPhone App for Precision Medicine Alzheimer's Research Using OMOP CDM}}   * 2.{{:symposium_2016:mobile_health_iphone_app_for_precision_medicine_alzheimer_s_research_using_omop_cdm.pdf|Mobile Health iPhone App for Precision Medicine Alzheimer's Research Using OMOP CDM}}
   * 3. {{:resources:ohdsi_symposium_2016_broadsea_poster.pdf|BROADSEA - Docker Containers For Cross-Platform Installation of OHDSI Tools}}   * 3. {{:resources:ohdsi_symposium_2016_broadsea_poster.pdf|BROADSEA - Docker Containers For Cross-Platform Installation of OHDSI Tools}}
Line 45: Line 45:
 Clinical Applications: Clinical Characterization Clinical Applications: Clinical Characterization
   * 1. {{:resources:Comparative Effectiveness Research Opportunities using the OHDSI Network v6.0.pdf|Comparative Effectiveness Research Opportunities using the OHDSI Network}}   * 1. {{:resources:Comparative Effectiveness Research Opportunities using the OHDSI Network v6.0.pdf|Comparative Effectiveness Research Opportunities using the OHDSI Network}}
-  * 2. {{:resources:using_ohdsi_tools_makadia_forlenza_v3.pdf|}}|Using OHDSI tools for clinical trial feasibility+  * 2. BEST POSTER: {{:resources:using_ohdsi_tools_makadia_forlenza_v3.pdf|}}|Using OHDSI tools for clinical trial feasibility
   * 3. {{:resources:poster_rohit_updated.pdf|Learning Effective Clinical Treatment Pathways from Observational Data}}   * 3. {{:resources:poster_rohit_updated.pdf|Learning Effective Clinical Treatment Pathways from Observational Data}}
   * 4. {{:symposium_2016:ohdsi_sca_2016_ver1.2.pdf|A descriptive study on sudden cardiac arrest based on OMOP CDM in Korea}}   * 4. {{:symposium_2016:ohdsi_sca_2016_ver1.2.pdf|A descriptive study on sudden cardiac arrest based on OMOP CDM in Korea}}
    
  
resources/ohdsi_symposium_2016_posters.1477600522.txt.gz · Last modified: by maura_beaton
Donate Powered by PHP Valid HTML5 Valid CSS Driven by DokuWiki