mobile information retrieval in medicine: a semantic ... · mobile information retrieval in...

Mobile Information Retrieval in Medicine:A Semantic Approach

(Short Communication)

Markus Kreuzthaler1, Marcus Bloice1,Lukas Faulstich2,

Klaus-Martin Simonic1, Andreas Holzinger1

1Institute for Medical Informatics Statistics and Documentation,Medical University of Graz, Austria

2ID Information und Dokumentation im Gesundheitswesen GmbH & Co.KGaA (ID),Berlin, Germany

MIE Conference, August 31, 2011, Oslo

Markus Kreuzthaler (IMI) Mobile IR MIE 2011 1 / 14

Mobile Information Retrieval

Mobile Information Retrieval differs in two main aspects to classicalInformation Retrieval:

Context AwarenessBy exploiting the sensors within a mobile device, Context Awarenesstries to be aware of the user’s situation.

Content AdaptationContent Adaptation addresses the visualization of the results of aninformation need to the mobile device.


Project Evolution SIXMIInitial project:

A doctor is confronted with a lot of documents belonging to apatient.Tag those that belong to the class of inflammation or neoplasm.A solution to this is a rule based approach to classify thesedocuments.

Follow-up project:

Semantic Information Extraction in Medical Information SystemsEvaluation of an information retrieval tool developed by ID.Statistical evaluation measure for unranked retrieval results:

I Precision, Recall, Fallout, F1-Measure

Comparing the information retrieval tool with a human expert.


SIXMI ExampleInformation NeedReport all observation reports which refer to an intestinal neoplasm.

Search Request IR Tool : neubildung, darm [=neoplasm, intestine]Search Request Expert :

Intestine NeoplasmExpression Syntax Terms to hit Expression Syntax Terms to hit

%kolon%,%colon%

Kolon, Colon %karzinom% Karzinom

%re_t% Rektum, Rectum %adenom% Adenom%sigm% Sigmoideum %kar_inoid% karzinoid, karcinoid%duoden% Duodenum %car_inoid% carzinoid, carcinoid%jejun% Jejunum %lymphom% Lymphom%hemi_olektomie% Hemikolektomie,

Hemicolektomie%sar_om% Sarkom, Sarcom

%ileum% Ileum %myom% Myom%ileo% Ileo %neurom% Neurom%appendix% Appendix %tumor% Tumor%coe_um% Coecum, Coekum %neuroendokrin% neuroendokrin%zoe_um% Zoekum, Zoecum %intraepithel% intraepithel

%neoplasie% Neoplasie%NHL% Non-Hodgkin Lymphoma



Search Request IR Tool : neubildung, darm [=neoplasm, intestine]

Search Request Expert :


%kolon%,%colon%








Search Request IR Tool : neubildung, darm [=neoplasm, intestine]Search Request Expert :


%kolon%,%colon%







SIXMI Result

Method Precision RecallDomain Expert 0.74 0.94Information Retrieval Tool 0.78 0.93

Table: Result Training Data (~500 diagnose texts).

Method Precision RecallDomain Expert 0.76 0.92Information Retrieval Tool 0.73 0.93

Table: Result Test Data (~3000 diagnose texts).


Mobile Information Retrieval (2)

Semantic Retrieval ToolQuery complexity is shifted to a powerful semantic retrieval logic.Short intuitive queries.

Short user input supports the mobile information need behavior.

Proof of ConceptMobile Information Retrieval Environment.


Mobile Information Retrieval Architecture

Client

Search

User

User

User



ClientSearch Engine Wrapper

Tomcat Server

SearchSe

arch

Con

trolle

rThe ID SemanticRetrieval Tool

User

User

UserSp

ring

MVC



ClientSearch Engine Wrapper

Tomcat Server

Search

Text Repository

Sear

ch C

ontro

ller

The ID SemanticRetrieval Tool

Linguistic Analysis andSemantic Representation

Knowledge Base

User

User

UserSp

ring

MVC


Result


Research Outline

Most importantIdentify meaningful use cases for mobile information access inmedicine:

Emergency situations.Teaching.Mobile data aggregation of patients.

Design of search user interfaces

I Use of other input methods instead of typing.I Use of Context Awareness to shrink down the information space.


Research Outline

Most importantIdentify meaningful use cases for mobile information access inmedicine:

Emergency situations.Teaching.Mobile data aggregation of patients.

Design of search user interfacesI Use of other input methods instead of typing.I Use of Context Awareness to shrink down the information space.


Research Outline, Emergency

Emergency reference -Shirt pocket sized.

Standard for emergencydoctors and medics inAustria.Maximum comprised data,clearly arranged for theuser in the emergency usecase.10th edition, ~65,000copies sold.



Emergency reference -Shirt pocket sized.Standard for emergencydoctors and medics inAustria.

Maximum comprised data,clearly arranged for theuser in the emergency usecase.10th edition, ~65,000copies sold.



Emergency reference -Shirt pocket sized.Standard for emergencydoctors and medics inAustria.Maximum comprised data,clearly arranged for theuser in the emergency usecase.

10th edition, ~65,000copies sold.



Emergency reference -Shirt pocket sized.Standard for emergencydoctors and medics inAustria.Maximum comprised data,clearly arranged for theuser in the emergency usecase.10th edition, ~65,000copies sold.


Acknowledgments and References

ID Information und Dokumentation im GesundheitswesenGmbH & Co.KGaA (ID), Berlin, Germany.

A. Holzinger and M. Errath.Mobile computer web-application design in medicine: someresearch based guidelines.Universal Access in the Information Society, 6(1):31–41, 2007.

F.S. Tsai, M. Etoh, X. Xie, W.C. Lee, and Q. Yang.Introduction to mobile information retrieval.IEEE Intelligent Systems, 25(1):11–15, 2010.


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