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Comment: Migrated to Confluence 4.0

Present: Aslak, Hans, Øystein, Rune, Arezoo

Status

Rune:

We still don't have enough access to the data.

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We need informed consent from patients to work on free text.

Arezoo:

ICD-10 codes from Australia ...

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Summary: First look at one trajectories, then start splitting them into meaningful separate trajectories.

Øystein

talks to the people who translated ICD-10 into Norwegian.

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Summary: We need to classify trajectories (but first we do just ONE big multi-year trajectory for each patient)

Aslak

How is co-morbidity related to trajectories?

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Summary: We need (ASAP) a graph showing That Patient, visiting That Department. Next Step: Show this in PE. (Rune, just do it ;-)

Hans

What about mapping between text/ontology? Ø: We don't have any text... Just classifying chronic or not, etc.

I'm trying to summarize the text in the health records.

A: How many patients do you need? Vector-space-model need a lot of training data.

Planning to extract sentences. A: The statements are important. Should be built into a system for real-time note-writing to store the (suggested) codes directly, instead of storing free text.

We want to use the results to rank recommendations. When a doctor is looking at a patients trajectory, the recommendations that best fit this patient show up first.