A dictionary to identify small molecules and drugs in free text

Motivation: From the scientific community, a lot of effort has been spent on the correct identification of gene and protein names in text, while less effort has been spent on the correct identification of chemical names. Dictionary-based term identification has the power to recognize the diverse representation of chemical information in the...

A concept-based approach to text categorization

The Biosemantics group (Erasmus University Medical Center, Rotterdam) participated in the text categorization task of the Genomics Track. We followed a thesaurus-based approach, using the Collexis indexing system, in combination with a simple classification algorithm to assign a document to one of the four categories. Our thesaurus consisted of...

Routine multiple imputation in statistical databases

This paper deals with problems concerning missing data in statistical databases. Multiple imputation is a statistically sound technique for handling incomplete data. Two problems should be addressed before the routine application of the technique becomes feasible. First, if imputations are to be appropriate for more than one statistical analysis...

Multiple imputation as a missing data machine

This paper deals with problems concerning missing data in clinical databases. After signalling some short comings of popular solutions to in completedata problems, we outline the concepts behind multiple imputation. Multiple imputation is a statistically sound method for handling incomplete data. Application of multiple imputation requires a lot...