Improving predictive asthma algorithms with modelled environment data for Scotland: an observational cohort study protocol.
Ireneous N SoyiriAziz SheikhStefan ReisKimberly KavanaghMassimo VienoTom ClemensEdward J CarnellJiafeng PanAbby KingRachel C BeckHester J T WardChris DibbenChris RobertsonColin R SimpsonPublished in: BMJ open (2018)
The study received National Health Service Research Ethics Committee approval (16/SS/0130) and also obtained permissions via the Public Benefit and Privacy Panel for Health and Social Care in Scotland to access, collate and use the following data sets: population and housing census for Scotland; Scottish education data via the Scottish Exchange of Data and primary care data from general practice Data Custodians. Analytic code will be made available in the open source GitHub website. The results of this study will be published in international peer reviewed journals.
Keyphrases
- big data
- electronic health record
- healthcare
- primary care
- general practice
- mental health
- public health
- study protocol
- machine learning
- quality improvement
- clinical trial
- chronic obstructive pulmonary disease
- emergency department
- risk assessment
- data analysis
- cross sectional
- cystic fibrosis
- air pollution
- lung function