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Validating and Improving Serum Biomarkers for Liver Cancer Surveillance
King, Ruth
(Principal Investigator)
Bayes Centre
Overview
Fingerprint
Research output
(1)
Project Details
Status
Finished
Effective start/end date
1/01/18
→
31/08/18
Funding
UK central government bodies/local authorities, health and hospital authorities:
£32,087.00
View all
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Hidden Markov Model
Medicine and Dentistry
100%
Cancer Epidemiology
Medicine and Dentistry
100%
Serum
Medicine and Dentistry
100%
Hepatocellular Carcinoma
Medicine and Dentistry
100%
Biological Marker
Medicine and Dentistry
100%
Time
Nursing and Health Professions
100%
Liver Cell Carcinoma
Nursing and Health Professions
100%
Continuous Time
Computer Science
100%
Research output
Research output per year
2019
2019
2019
1
Article
Research output per year
Research output per year
A continuous-time hidden Markov model for cancer surveillance using serum biomarkers with application to hepatocellular carcinoma
Amoros Salvador, R.
,
King, R.
,
Toyoda, H.
,
Kumada, T.
,
Johnson, P. J.
&
Bird, T. G.
,
31 Aug 2019
,
In:
METRON.
77
,
2
,
p. 67-86
20 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Hidden Markov Model
100%
Serum
100%
Hepatocellular Carcinoma
100%
Cancer Epidemiology
100%
Biological Marker
100%