Development of childhood asthma prediction models using machine learning and data integration

Abstract

Dataset to support University of Southampton Doctoral Thesis "Development of childhood asthma prediction models using machine learning and data integration". DESCRIPTION OF THE DATA Data comprises of clinical data from the Isle of Wight Birth Cohort (IOWBC) used in this thesis, including data dictionaries, intermediate datasets relevant for analyses performed in this thesis as well as documentation for ethical approval, patient consent forms and participant information sheets. Source code for analyses performed in this these are also provided alongside supplementary results, including: full descriptions of the candidate features considered during the development of the genomic risk scores for childhood asthma; full descriptions of the performance measures reported in the IOWBC for all candidate prediction models developed using machine learning approaches; all final trained childhood asthma prediction models to support the future application of the models developed in this thesis. Scripts and Supplementary Results are available to download, datasets are available 'on request' only to bone fide researchers. Please complete the attached request form and we will seek approval for the request from the IOW Birth Cohort Data Access Committee

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