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While most crash research datasets use Abbreviated Injury Scale (AIS) codes to identify injuries, most hospital datasets use the International Classification of Diseases, version 9 (ICD-9) codes.
While existing datasets use police and hospital reports to provide a comprehensive picture of fatalities and life altering injuries, by their nature, they are sparse and resist use for prediction and prioritization.
The conferences in the IEEE (Spain) and the IEEE Internationall) datasets use a traditional approach.
However, most BSPM datasets use the same beat markers for all the leads.
Accordingly, protein interaction datasets use different identifier systems to describe their interactions.
One common example is that microarray datasets use gene probe IDs but metabolic pathways use gene locus names.
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Drugs were matched between datasets using PubChem compound identifiers.
Information on the datasets used in this study.
The datasets used in this study are available at https://data.matr.io/1.
The environmental datasets used in this study are publicly available online as stated in the methods.
The ChIP-seq datasets used to validate the model are listed in (Table S5).
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