Improving reporting standards for phenotyping algorithm in biomedical research: 5 fundamental dimensions.
Phenotyping algorithms enable the interpretation of complex health data and definition of clinically relevant phenotypes; they have become crucial in biomedical research. However, the lack of standardization and transparency inhibits the cross-comparison of findings among different studies, limits large scale meta-analyses, confuses the research community, and prevents the reuse of algorithms, which results in duplication of efforts and the waste of valuable resources.
Author(s): Wei, Wei-Qi, Rowley, Robb, Wood, Angela, MacArthur, Jacqueline, Embi, Peter J, Denaxas, Spiros
DOI: 10.1093/jamia/ocae005