Machine Learning Methods for the Diagnosis of Chronic Obstructive Pulmonary Disease in Healthy Subjects: Retrospective Observational Cohort Study.
Shigeo MuroMasato IshidaYoshiharu HorieWataru TakeuchiShunki NakagawaHideyuki BanTohru NakagawaTetsuhisa KitamuraPublished in: JMIR medical informatics (2021)
Using a machine learning model in this longitudinal database, we identified a number of parameters as risk factors other than smoking exposure or lung function to support general practitioners and occupational health physicians to predict the development of COPD. Further research to confirm our results is warranted, as our analysis involved a database used only in Japan.
Keyphrases
- lung function
- machine learning
- chronic obstructive pulmonary disease
- risk factors
- cystic fibrosis
- air pollution
- artificial intelligence
- healthcare
- cross sectional
- big data
- public health
- primary care
- adverse drug
- mental health
- deep learning
- smoking cessation
- emergency department
- health information
- risk assessment
- climate change
- social media