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Application of Support Vector Machine Learning to Predict the Risk of Death from Chronic Obstructive Pulmonary Disease Using Electronic Primary Care Medical Records
Flynn, Robert
(Investigator)
Morales, Daniel
(Investigator)
Zhang, Jianguo
(Investigator)
Population Health and Genomics
Science and Engineering Office
Cardiovascular Research
Overview
Fingerprint
Research Outputs
(1)
Research output
Research output per year
2018
2018
2018
1
Article
Research output per year
Research output per year
1 results
Publication Year, Title
(descending)
Publication Year, Title
(ascending)
Title
Type
Search results
2018
External validation of ADO, DOSE, COTE and CODEX at predicting death in primary care patients with COPD using standard and machine learning approaches
Morales, D.
(Lead / Corresponding author),
Flynn, R.
, Zhang, J.,
Trucco, E.
& Quint, J. K.,
1 May 2018
,
In:
Respiratory Medicine.
138
,
p. 150-155
6 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Comorbidity
100%
Dyspnea
100%
Primary Care Patients
100%
Chronic Obstructive Pulmonary Disease
100%
Machine Learning Approach
100%
23
Citations (Scopus)
358
Downloads (Pure)