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Mining Electronic Health Records (EHRs) for improved disease surveillance

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Mining Electronic Health Records (EHRs) for improved disease surveillance
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15
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CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Production Year2023
Production PlaceWageningen

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Abstract
Alan Radford is a Professor in Veterinary Health Informatics Infection Biology & Microbiomes and is currently involved in teh SAVSNET, the Small Animal Veterinary Surveillance Network. During the 2023 MOOD Summer School he gave a presentation on Mining Electronic Health Records (EHRs) for improved disease surveillance.
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