Conference item
Risk prediction for cardiovascular disease using ECG data in the China Kadoorie Biobank
- Abstract:
-
We set out to use machine learning techniques to analyse ECG data to improve risk evaluation of cardiovascular disease in a very large cohort study of the Chinese population. We performed this investigation by (i) detecting “abnormality” using 3 one-class classification methods, and (ii) predicting probabilities of “normality”, arrhythmia, ischemia, and hypertrophy using a multiclass approach. For one-class classification, we considered 5 possible definitions for “normality” and used 10 autom...
Expand abstract
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Accepted manuscript, pdf, 737.9KB)
-
- Publisher copy:
- 10.1109/EMBC.2016.7591218
Why is the content I wish to access not available via ORA?
Bibliographic data (the information relating to research outputs) and full-text items (e.g. articles, theses, reports, etc.) arrive in ORA from several different sources. Unfortunately we are not able to make available the full-text for every research output.
Please contact the ORA team (
) if you have queries regarding unavailable content OR if you are aware of a full-text copy we can make available.
) if you have queries regarding unavailable content OR if you are aware of a full-text copy we can make available.
Content may be unavailable for the following four reasons
-
Version unsuitable
-
We have not obtained a suitable full-text for a given research output. See this page for more information.
-
Recently completed
-
Sometimes content is held in ORA but is unavailable for a fixed period of time to comply with the policies and wishes of rights holders.
-
Permissions
-
All content made available in ORA should comply with relevant rights, such as copyright. See this page for more information.
-
Clearance
-
Some thesis volumes scanned as part of the digitisation scheme funded by Dr Leonard Polonsky are currently unavailable due to sensitive material or uncleared third-party copyright content. We are attempting to contact authors whose theses are affected.
Alternative access to the full-text
You may be able to access the full-text directly from the publisher's website using the 'Publisher Copy' link in the 'Links & Downloads' box from a research output's ORA record page. This method may require an institutional or individual subscription to the journal/resource.
Authors
Funding
+ Engineering and Physical Sciences Research Council
More from this funder
Grant:
Digital Economy Programme grant EP/G036861/1
Royal Academy of Engineering
More from this funder
China Scholarship Council
More from this funder
Bibliographic Details
- Publisher:
- Institute of Electrical and Electronics Engineers Publisher's website
- Journal:
- EMBC 16: 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Journal website
- Host title:
- EMBC 16: 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
- Publication date:
- 2016-10-01
- Acceptance date:
- 2016-05-07
- DOI:
- Source identifiers:
-
624287
Item Description
- Pubs id:
-
pubs:624287
- UUID:
-
uuid:2f6e4f59-9b0f-4758-b917-a000c7e04869
- Local pid:
- pubs:624287
- Deposit date:
- 2016-05-27
Terms of use
- Copyright holder:
- Institute of Electrical and Electronics Engineers
- Copyright date:
- 2016
- Notes:
- ©2016 IEEE.
If you are the owner of this record, you can report an update to it here: Report update to this record