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Current Respiratory Medicine Reviews

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ISSN (Print): 1573-398X
ISSN (Online): 1875-6387

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Opinion Article

Stepping Up the Personalized Approach in COPD with Machine Learning

Author(s): Evgeni Mekov*, Marc Miravitlles, Marko Topalovic, Aran Singanayagam and Rosen Petkov

Volume 19, Issue 3, 2023

Published on: 19 June, 2023

Page: [165 - 169] Pages: 5

DOI: 10.2174/1573398X19666230607115316

Price: $65

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Abstract

Introduction: There is increasing interest in the application of artificial intelligence (AI) and machine learning (ML) in all fields of medicine to facilitate greater personalisation of management.

Methods: ML could be the next step of personalized medicine in chronic obstructive pulmonary disease (COPD) by giving the exact risk (risk for exacerbation, death, etc.) of every patient (based on his/her parameters like lung function, clinical data, demographics, previous exacerbations, etc.), thus providing a prognosis/risk for the specific patient based on individual characteristics (individual approach).

Result: ML algorithm might utilise some traditional risk factors along with some others that may be location-specific (e.g. the risk of exacerbation thatmay be related to ambient pollution but that could vary massively between different countries, or between different regions of a particular country).

Conclusion: This is a step forward from the commonly used assignment of patients to a specific group for which prognosis/risk data are available (group approach).

Keywords: Machine learning, COPD, GOLD, Mortality, Exacerbations, Prediction.

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