tapio pitkäranta aalto university. what does the mirror tell us?
TRANSCRIPT
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Tapio PitkärantaAalto University
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What does the mirror tell us?
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2500 years ago
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Long history of collecting How we use and apply it is constantly
changing◦ From morbidity to funding
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Current status in Finland
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Currently CaseMix is used usually after the patient has left the hospital
Other domains:◦ Amazon.com: ”Customers who bought this book,
also bought…”vs. ”Physicians who had a patient like you now have, did this and that?”
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Utilize information organizations collect General purpose
◦ Methods that suit various domains Scalability
◦ Hundreds of millions of data sets on a regular desktop hardware
Flexibility◦ Methods that can be empowered with semantic
information extracted from the classification structures
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The data space is uncertain The data is uncertain
◦ We must acknowledge this while evaluating methods
◦ Methods that provide “exact” results should be discarded?
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In Finland ~ one million inpatients per year
We have collected data from the 1960’s◦ Could have millions of patient care episodes
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Software agents: Multi-Agent Community◦ Commander◦ Data Crawler◦ Integrator◦ Aggregator
DM & IR
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Represent coded data sets as vectors Similarity functions
◦ Cosine Angle Distance◦ Euklidean Distance
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Documentation assistant
Patient arrives to the office of a very busy physician…
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Material |D| Size (MB)
M1k 1 000 0.26
M10k 10 000 2.54
M100k 100 000 23.60
M1000k 1 000 000 235.00
M10000k 10 000 000 2351.00
M100000k 100 000 000 24534.00
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The proposed system is able to produce fairly accurate results
The proposed system is able to handle large amounts of data
IR model provides flexibility, good scalability and high performance
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Ideas, questions...?