Références

• Evidence-Based Centers
• PICO
• Applications
• Decision Support Systems
• Medical databases
• Searching from multiple sources
• Medical Ontologies and thesauruses
• PICO-based Searching
• Automatic database's request API

Evidence-Based Centers

• Centre for Evidence-Based Medicine, Oxford
• Evidence-Based Health Informatics, HIRU at McMasters
• The Cochrane Library
• Centre for Evidence-Based Medicine, Toronto

PICO

• The Well-Built Clinical Question, Duke/UNC Tutorial
• PICO and Formulating the Clinical Question: A Guided Exercise , NYU School of Medecine
• Formulating Answerable Clinical Questions, Centre for Evidence-Based Practice, University of Toronto
• LINKS to PICO Resources, EBDM USC
• Finding the evidence videos, CEBM Oxford

Applications

• OpenClinical
• MetaCoDe

Decision Support Systems

• EGADSS
• DiagnosisMed R Package

Medical databases

• Critique et Pratique
• DARE
• health-evidence.ca
• PubMed (Tutorial)
• GoPubMed (Ontology-based medical literature search engine)
• Cochrane
• ClinicalEvidence
• DynaMed

Searching from multiple sources

• SUMSearch2
• Trip Database

Medical Ontologies and thesauruses

• Unified Medical Language System (UMLS)
• The Open Biological and Biomedical Ontologies

PICO-based Searching

• Xiaoli Huang, Jimmy Lin, and Dina Demner-Fushman, Evaluation of PICO as a Knowledge Representation for Clinical Questions, AMIA Annu Symp Proc. 2006; 2006: 359–363
• Chris Mavergames, Silver Oliver, Lorne Becker, Systematic Reviews as an interface to the web of (trial) data: Using PICO as an ontology for knowledge synthesis in evidence-based healthcare research, Proceedings of the European Semantic Web Conference, Montpellier, France, 2013
• Huijia ZHU, Yuan NI, Peng CAI, Zhaoming QIU and Feng CAO, Automatic Extracting of Patient-related Attributes: Disease, Age, Gender and Race, Quality of Life through Quality of Information, 2012 European Federation for Medical Informatics and IOS Press, p.589-593
• Yuan NI, Huiji ZHU, Peng CAI, Lei ZHANG, Zhaoming QUI, Feng CAO, CliniQA : Highly Reliable Clinical Question Answering System, Quality of Life through Quality of Information, 2012 European Federation for Medical Informatics and IOS Press, p.215-219
• Arjen Hoogendam, Pieter F de Vries Robbé, and A. John P.M Overbeke, Comparing patient characteristics, type of intervention, control, and outcome (PICO) queries with unguided searching: a randomized controlled crossover trial, J Med Libr Assoc. 2012 April; 100(2): 121–126.
• Florian Boudin, Jian-Yun Nie and Martin Dawes, Clinical Information Retrieval using Document and PICO Structure, Proceeding of HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, p.822-830
• Alba DiCenso, Liz Bayley and R. Brian Haynes, Accessing preappraised evidence: fine-tuning the 5S model into a 6S model , ACP Journal Club. Vol. 151, Number 3.
• Florian Boudin, Jian-Yun Nie, Joan C Bartlett, Roland Grad, Pierre Pluye and Martin Dawes, Combining classifiers for robust PICO element detection, BMC Medical Informatics and Decision Making 2010, 10:29
• A System & Method to Enable PICO-based Semantic Search on Clinical Evidence
• Connie Schardt, Martha B Adams, Thomas Owens, Sheri Keitz and Paul Fontelo, Utilization of the PICO framework to improve searching PubMed for clinical questions , BMC Med Inform Decis Mak. 2007; 7: 16.
• Florian Boudin, Lixin Shi, and Jian-Yun Nie, Improving Medical Information Retrieval with PICO Element Detection , ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval, p.50-61

Automatic database's request API

• Quick tutorial to PubMed E-Utilities
• The E-utilities In-Depth: Parameters, Syntax and More
• Overview of the E-utility Web Service (SOAP)