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2016•Journal of Family Medicine and Disease PreventionOpen access

Real-Data Comparison of Data Mining Methods in Early Detection of Chronic Obstructive Pulmonary Disease (COPD) in General Practice

Rodríguez-Álvarez Cristobalina

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Abstract

Health authorities have increased the attention given to chronic obstructive pulmonary disease (COPD) in recent years. Even so, under-diagnosis and late diagnosis rates remain high. The aim of this study was to determine which factors allow to discriminate between people with COPD and which do not, trying to provide a simple tool that can be used by primary health care personnel.

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What this paper is about

Health authorities have increased the attention given to chronic obstructive pulmonary disease (COPD) in recent years. Even so, under-diagnosis and late diagnosis rates remain high. The aim of this study was to determine which factors allow to discriminate between people with COPD and which do not, trying to provide a simple tool that can be used by primary health care personnel.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Health authorities have increased the attention given to chronic obstructive pulmonary disease (COPD) in recent years. Even so, under-diagnosis and late diagnosis rates remain high. The aim of this study was to determine which factors allow to discriminate between people with COPD and which do not, trying to provide a simple tool that can be used by primary health care personnel.

Key concepts: COPD, Pulmonary disease, Medicine, Intensive care medicine, Disease, Health care, Clinical Practice, Internal medicine

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