However, a major issue in such a classification task is not only to maximize the tool's ability to identify true positives but also to minimize the false positive rate.
We were not able to identify cause of death in 1.7% of patients, although classification issues in such a small percentage of all study patients are unlikely to have systematically biased our results in any direction.
The methodological issues in such comparisons are discussed.
The main issue in such an analysis is the availability of classification data for the specific organism such as Gene Ontology (GO) and metabolic pathways (KEGG).
Such classifications are subject to heightened scrutiny.
Such classifications do not provide causal explanations.
Lastly, we believe that the novel classification system we propose will make it easier to address scientific questions and issues in areas such as quality of care and public health, and may enable a more scientific approach to breast cancer surgery as such.
This paper discusses three different issues in feature classification.
In this paper, the most important concepts in design by freeform features are surveyed, and issues such as classification and parameterisation of freeform features and freeform feature recognition are described.
However, accuracy of classification based on such reporting has not been validated,[ 9] and our results suggested potential issues in classification.
