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A Natural Language based Knowledge Representation Method for Medical Diagnosis Dr Peter Scholten Dr Jie Ji, Huilin Chen and Yixuan Song SAI Computing Conference 2016 July 13-16, 2016 | London UK

Medical Diagnosis

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A Natural Language based KnowledgeRepresentation Method for Medical Diagnosis

Dr Peter ScholtenDr Jie Ji, Huilin Chen and Yixuan Song

SAI Computing Conference 2016July 13-16, 2016 | London UK

What is a medical diagnose?

An identification of a disease based on objective (measurable) and/or subjective (not measurable) symptoms.

A subjective symptom is a description of the feelings by a patient, like: I have fever,

I have pain,I’m tired.

Misdiagnose > 5%

What is the problem?• Reliable data• Classification for diseases, but no classification for

symptoms• System based on natural language• Different users: - medical doctors and healthconsumers

- different cognitive levels• Missing direct interaction between doctor and patient

Non treatment Treatment

Definition of diseases

0 1

Diseases SymptomshasSymptom

isSymptomOf

An inverse property: hasSymptom is inverse of isSymptomOf

class class

diseases

Symptom 1

Symptom 3

Symptom 2

RDF: (s,p,o) triple

disease

Symptom 1

Symptom 3

Symptom 2

isSymptomOf

hasSymptomhasSymptom

disease

Select symptom

Candidate symptom

Candidate symptom

1625 9.723 56.912 / 10.230 / 400

User input

conjugate

Concept

disease

Select symptom

Candidate symptom

Candidate symptom

Y

N

The linguistic ontology

Human factors effect the accuracy

1. The errors due to accuracy of the content.

2. The errors due to interoperability of the

application.

3. The errors due to shortcomings of the user.• illness• ability to describe illness

= number of symptoms

Description of

symptoms

Results:

The system does work like a human expert, which is able to read and learning, and understand natural language inputs.

Demo

Heart attack and personal conditions

:circulatory

Heart attackPressure pain chest and neck

Personal conditions

•Age > 45

•Hereditary YES

•Active NO

•Overweight YES

•Smoking YES

Contact

[email protected]