Natural Language Generation for Personalised Recommendations in Healthcare


The thesis aims at designing a prototype system taking the opportunity of applying Natural Language Generation (NLG) as part of a strategy to generate and deliver personalised recommendation messages to chronic patients suffering from various diseases requiring constant activities such as physical exercise, taking medications, sleep monitoring, etc.

(keywords) healthcare, nlg, recommendation
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Thesis

Natural Language Generation for Personalised Recommendations in Healthcare

Supervision

— supervisor

Andrea Omicini

— co-supervisor

Stefano Mariani

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— cycle

second-cycle thesis

— status

out-of-date thesis

— language

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Dates

— available since

15/03/2018

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