Predicting frequent COPD exacerbations using primary care data

D Price; M Kerkhof; D Freeman; R Jones; A Chisholm

doi:10.2147/copd.s94259

Predicting frequent COPD exacerbations using primary care data

D Price
, M Kerkhof
, D Freeman
, R Jones
, A Chisholm

Peninsula Medical School

Research output: Contribution to journal › Article › peer-review

24 Downloads (Pure)

Original language	English
Pages (from-to)	2439-2439
Number of pages	0
Journal	International Journal of Chronic Obstructive Pulmonary Disease
Volume	0
Issue number	0
DOIs	https://doi.org/10.2147/copd.s94259
Publication status	E-pub ahead of print - Nov 2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.2147/copd.s94259

Predicting frequent COPD exacerbations using primary care data

Cite this

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title = "Predicting frequent COPD exacerbations using primary care data",

author = "D Price and M Kerkhof and D Freeman and R Jones and A Chisholm",

year = "2015",

month = nov,

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language = "English",

volume = "0",

pages = "2439--2439",

journal = "International Journal of Chronic Obstructive Pulmonary Disease",

issn = "1178-2005",

number = "0",

}

TY - JOUR

T1 - Predicting frequent COPD exacerbations using primary care data

AU - Price, D

AU - Kerkhof, M

AU - Freeman, D

AU - Jones, R

AU - Chisholm, A

PY - 2015/11

Y1 - 2015/11

UR - https://pearl.plymouth.ac.uk/pms-research/851/

U2 - 10.2147/copd.s94259

DO - 10.2147/copd.s94259

M3 - Article

SN - 1178-2005

VL - 0

SP - 2439

EP - 2439

JO - International Journal of Chronic Obstructive Pulmonary Disease

JF - International Journal of Chronic Obstructive Pulmonary Disease

IS - 0

ER -

Predicting frequent COPD exacerbations using primary care data

UN SDGs

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