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Lessons learned using a chatbot to assign ICD-10 codes to historical causes of death
April 25 @ 14:00 - 16:00
Lecturer: Prof. Lars Ailo Aslaksen Bongo, UiT The Arctic University of Norway
Content: I will present our lessons learned using the ChatGPT chatbot to assign International Classification of Diseases (ICD) codes to Norwegian historical causes of death. Our hypothesis is that we can use chatbots to interactively code historical data for a specific application. Compared to the huge effort required for coding everything once with low error rates, this allows less effort and possibly more accurate coding. However, naive use of chatbots is costly, so a systematic approach is needed. Finally, we propose a new specialization: AI curators for AI generated historical knowledge.
Objectives: The aim of the lecture is to learn about opportunities and pitfalls in using chatbots for interactive analysis of historical data.
Recommended reading: It is recommended to test a chatbot before the lecture.