eprintid: 10122239
rev_number: 19
eprint_status: archive
userid: 608
dir: disk0/10/12/22/39
datestamp: 2021-02-24 15:46:54
lastmod: 2021-10-02 22:21:23
status_changed: 2021-02-24 15:46:54
type: conference_item
metadata_visibility: show
creators_name: Rivas, C
title: Rules based machine learning for the analysis of cancer survey freetext responses
ispublished: pub
divisions: UCL
divisions: B16
divisions: B14
divisions: J81
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
date: 2018
date_type: published
official_url: http://www.thinkmind.org/index.php?view=instance&instance=eTELEMED+2018
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
article_type_text: Article
verified: verified_manual
elements_id: 1848054
lyricists_name: Rivas, Carol
lyricists_id: CARIV33
actors_name: Rivas, Carol
actors_id: CARIV33
actors_role: owner
full_text_status: public
pres_type: presentation
publication: IARIA eTELEMED
event_title: The Tenth International Conference on eHealth, Telemedicine, and Social Medicine
event_location: Rome, Italy
event_dates: 25th-29th March 2018
citation:        Rivas, C;      (2018)    Rules based machine learning for the analysis of cancer survey freetext responses.                   Presented at: The Tenth International Conference on eHealth, Telemedicine, and Social Medicine, Rome, Italy.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10122239/3/Rivas_Rules%20based%20machine%20learning%20for%20the%20analysis%20of%20cancer%20survey%20freetext%20responses_AAM.pdf