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Output details

11 - Computer Science and Informatics

University of Aberdeen

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Output 18 of 74 in the submission

Article title

Automatic generation of textual summaries from neonatal intensive care data

Type

D - Journal article

DOI

10.1016/j.artint.2008.12.002

Title of journal

Artificial Intelligence

Article number

Volume number

173

Issue number

7-8

First page of article

789

ISSN of journal

0004-3702

Year of publication

2009

URL

Number of additional authors

Additional information

<22>Artificial Intelligence is one of the most prestigious journals in the field. This paper describes the BT45 system: a system that integrates AI-based analytics and natural language generation to automatically generate English summaries of complex medical data. We show, using controlled experiments in vitro, that clinical decisions can be improved through the generation of such summaries. This research laid the foundations for the BT-Nurse system deployed in situ, which is reported in Reiter2. This strand of research led to the spinout company Data2Text (data2text.com), which is working closely with Arria (aria.com); Sripada is Chief Development Scientist of both companies.

Interdisciplinary

Yes

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract