An ontological approach for the exploitation of clinical data Ariane - - PowerPoint PPT Presentation

an ontological approach for the exploitation of clinical
SMART_READER_LITE
LIVE PREVIEW

An ontological approach for the exploitation of clinical data Ariane - - PowerPoint PPT Presentation

An ontological approach for the exploitation of clinical data Ariane Assl Kama 1 ,Rmy Choquet 1 , Giovanni Mels 2 , Christel Daniel 1,3 , Jean Charlet 1,3 , Marie-Christine Jaulent 1 1 INSERM, UMR_S 872, Eq. 20, Universit Pierre et Marie


slide-1
SLIDE 1

1 Assises GDR I3 – Strasbourg 01/07/2010

1INSERM, UMR_S 872, Eq. 20, Université Pierre et Marie Curie, Paris, France; 2AGFA HealthCare NV, Moutstraat 100, 9000 Gent, Belgium; 3APHP, Assistance Publique des Hôpitaux de Paris, Paris, France;

An ontological approach for the exploitation of clinical data

Ariane Assélé Kama1 ,Rémy Choquet1, Giovanni Mels2, Christel Daniel1,3, Jean Charlet1,3, Marie-Christine Jaulent1

MEDINFO – Copenhagen, 22th of August 2013

Oral Presentation Presenter: Ariane Assélé Kama

slide-2
SLIDE 2

2 Assises GDR I3 – Strasbourg 01/07/2010

DebugIT

Detecting and Eliminating Bacteria Using Information Technology

European project FP7 (grant #217139) with 14 partners.

Disclaimer: this presentation reflects solely the views of the authors and no guarantee or warranty is given that it is fit for any particular purpose. The European Commission, Directorate General Information Society and Media, Brussels, is not liable for any use that may be made of the information contained therein.

MEDINFO Copenhague 22th of August 2013 Presented by Ariane Assélé Kama Slide 2

q Aggregate data stored in European hospitals q Build a unified system q Infectious disease control q Antimicrobial resistances

slide-3
SLIDE 3

3 Assises GDR I3 – Strasbourg 01/07/2010

Hospital Information Systems

Introduction

MEDINFO Copenhague 22th of August 2013 Presented by Ariane Assélé Kama Slide 3

ETL Process

Extract – Transform – Load Diagnostic or Therapeutic decisions Clinical or Epidemiological research

Clinical Databases

Consolidate, archive Large data streams

Analysis Space

Decision making Data analysis Data mining

slide-4
SLIDE 4

4 Assises GDR I3 – Strasbourg 01/07/2010

Hospital Information Systems

Why we need to use semantics resources ?

MEDINFO Copenhague 22th of August 2013 Presented by Ariane Assélé Kama Slide 4

ID Bacterium Antibiotic Result Value 1

  • E. Coli

Amoxicilline Resistant 25 2 Escherichia coli Cefoperazone Sensitive 28 3 Pseudomonas aeruginosa Ofloxacine Intermediate 10 ID Bactérie Antibiotique R V 10 Escherichia.Coli Cefpirome R 25 20 Hafnia alvei Quinolones S 28 30 Pseudomonas aeruginosa Ofloxacine I 10

Data Sources

Question

What are the results of susceptibility testing of E. Coli resistant to B-lacatam?

Problem

Lack of knowledge : Amoxicillin is a B-lactam

  • E. Coli and Escherichia coli refer to the same bacteria

Fields “bacterium” & “bactérie” refer to the same “bacteria” concept

Hypothesis

Using an ontology to enrich clinical data exploitation

Objective

To exploit domain knowledge throughout ontology, as a user oriented view, to query clinical data, building a SPARQL Endpoint.

slide-5
SLIDE 5

5 Assises GDR I3 – Strasbourg 01/07/2010

Material & Methods

SPARQL Endpoint Building Process

MEDINFO Copenhague 22th of August 2013 Presented by Ariane Assélé Kama Slide 5

Ressources

  • Clinical Database (HEGP)
  • DCO7: Ontologie (DebugIT)

1

D2R Server / Joseki

  • Mapping File: (concepts) ó (tables/colums)
  • RDF Graphe (fichier .n3)
  • Data mapping

2

SPARQL Endpoint

  • Clinical Data access
  • SPARQL queries

3

(b) SPARQL Endpoint building approach (a) Traditionnal multidimentionnal datawarehouse

slide-6
SLIDE 6

6 Assises GDR I3 – Strasbourg 01/07/2010

SPARQL Endpoint building Process

Database mapping file Database Information Model DebugIT Core Ontology (DCO)

MEDINFO Copenhague 22th of August 2013 Presented by Ariane Assélé Kama Slide 6

slide-7
SLIDE 7

7 Assises GDR I3 – Strasbourg 01/07/2010

Data Concepts

MEDINFO Copenhague 22th of August 2013 Presented by Ariane Assélé Kama Slide 7

SPARQL Endpoint building Process

Database mapping to DCO Ontology

slide-8
SLIDE 8

8 Assises GDR I3 – Strasbourg 01/07/2010

SPARQL Query Example

Illustration of a SPARQL Query building

MEDINFO Copenhague 22th of August 2013 Presented by Ariane Assélé Kama Slide 8

PREFIX biotop : <http://purl.org/biotop/1.0/biotop.owl#> PREFIX dco: <http://www.debugit.eu/ontology/1.0/dco.owl#> PREFIX inserm: <http://debugit1.spim.jussieu.fr/resource/biotop.owl#> SELECT DISTINCT * WHERE { GRAPH <http://debugit.eu/inserm-map.n3> { ?antibiotic1 a dco:BetalactamAntibiotic. ?bacteria a biotop:SpeciesEcherichiaColiRegion. } GRAPH <http://debugit1.spim.jussieu.fr/resource> { ?susceptibility a inserm:ResultAntibiogram; inserm:antibiogram_ID ?antibiogram; inserm:antibiotic_tested ?antibiotic1; inserm:antibiotic_RESULT ?r1. ?antibiogram a inserm:antibiogram; inserm:bacteria_analyzed ?bacteria. } }

Mapping file between data and ontology We get the corresponding URIs of the B-Lactam antibiotics and E. coli bacteria From the mapping file, specifications data from the database are recovered

slide-9
SLIDE 9

9 Assises GDR I3 – Strasbourg 01/07/2010

Results

SPARQL Query running

Initial data

238 623 antibiogram results Performed on 61 antibiotics, including 22 Beta-Lactam 165 bacteria

SPARQL Query result

D2R Server 4 075 results of susceptibility of resistance of E. Coli to beta-lacatam in 24.6379 s Joseki : using ontology concept 4 075 results of susceptibility of resistance of E. Coli to beta-lacatam in 10.085 s

MEDINFO Copenhague 22th of August 2013 Presented by Ariane Assélé Kama Slide 9

slide-10
SLIDE 10

10 Assises GDR I3 – Strasbourg 01/07/2010

Results

Comparison with the HEGP microbiologists reports

MEDINFO Copenhague 22th of August 2013 Presented by Ariane Assélé Kama Slide 10

  • E. Coli vs CEFIXIM: sensitive at hegp vs debugit (%)

20 01 20 02 20 03 20 04 20 05 20 06 2007 HEGP (Internal report) 73 85 90 91 91 91 89% DebugIT (Sparql Endpoint) 73 86 89 91 92 91 91% Total 12 44 12 44 28 53 27 80 28 38 28 50 2727 ddo:Sensitive 91 1 20 74 25 53 25 25 26 07 25 96 2479

Graphic rate of E. Coli sensitivity to Cefixim at HEGP hospital over a period of 6 years. Rate sensitivity of E. coli to Cefixim at HEGP over a period

  • f 6 years.
slide-11
SLIDE 11

11 Assises GDR I3 – Strasbourg 01/07/2010

Limits and Future Work

Conclusion

Using semantic resource to exploit clinical data

q

Ontologies are used to enrich the data analysis process

q

We run fewer queries using ontology and retrieve all data

Semantic relations

q “is-a” hierarchy was used in this study q All existing semantic relations could be used (e.g. equivalence)

Database mapping to ontology

q

Mapping manually done

q

Link an instance to a concept

Perspectives

q

Build a data definition ontology from the database information model

q

Define mapping rules between the domain ontology (DCO) an the data definition

MEDINFO Copenhague 22th of August 2013 Presented by Ariane Assélé Kama Slide 11

slide-12
SLIDE 12

12 Assises GDR I3 – Strasbourg 01/07/2010

The DebugIT European Projet

Conclusion

The Semantic Interoperability Platform

MEDINFO Copenhague 22th of August 2013 Presented by Ariane Assélé Kama Slide 12

slide-13
SLIDE 13

13 Assises GDR I3 – Strasbourg 01/07/2010

DebugIT, EU-IST-FP7-217139 EAGL, SNF-325230-120758 Agfa Healthcare

  • Giovanni Mels
  • Hans Cools

INSERM EQ20 UMRS 872

DebugIT partners

Agfa Healthcare (Belgium) Empirica (Germany) Gama Sofia Ltd (Bulgaria) INSERM (France) IZIP (Czech Republic) Linköping University (Sweden) TEILAM (Greece) University College London (UK) HUG (Switzerland) Freiburg University (Germany) Geneva University (Switzerland) Averbis (Germany) MDA (Czech Republic) HES-SO (Switzerland)

Acknowledgments

MEDINFO Copenhague 22th of August 2013 Presented by Ariane Assélé Kama Slide 13

slide-14
SLIDE 14

14 Assises GDR I3 – Strasbourg 01/07/2010

ariane.asselekama@gmail.com

Thank you for your attention

MEDINFO Copenhague 22th of August 2013 Presented by Ariane Assélé Kama Slide 14