A Guide to Transformer Maintenance by S. D. Myers

By S. D. Myers

Publication through S. D. Myers, J. J. Kelly, R. H. Parrish

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Extra resources for A Guide to Transformer Maintenance

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Although the medical doctors are members of an association, no real measures relating the unification of terminology and disambiguation is really made. The level of semantic interoperability is low, making the automated information retrieval a really nontrivial task. Doctors often use natural language in medical records. Therefore it contains many ambiguities due to non-standard abbreviations and synonyms. For example, the information of diabetes mellitus is often expressed as DM, DM2, DM 2, dia II, DMII, etc.

Data that can easily be queried out of an M1 data-model, needs to be assembled by multiple joins out of the meta-model. This is not just an issue when talking about performance, it also complicates the source code. Software developers must get used to think in meta-model terms, which means dealing with another level of abstraction. Especially when it comes to queries meta-models can be very challenging. Another drawback that has to be accepted is the fact that almost all of the data is stored in one single table - the value table.

On the other hand, doctors sometimes spend hours to find medical cases that are comparable to their current one. Informations about these similar cases can be used to improve the current patient’s treatment and shorten the physician’s research time. In order to reliably detect similar cases in the whole dataset a number of clustering-algorithms will be evaluated according to their runtime behavior, “correctness” and their ability to distinguish isolated medical cases from medical cases that are part of a group of similar elements.

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