Sentence examples for informatics problem from inspiring English sources

One of the primary informatics problem areas in this endeavor is the standardization of disparate health data from the nation's many health care organizations and providers.

This is a hard informatics problem because microarray and proteomics data could not, in most cases, be directly compared to each other.

It was envisioned that companies would purchase off-the-shelf software solutions or hire consultants or informaticians to solve their informatics problems.

The article concludes with emphasizing that successful future research in ML for health informatics, as well as the successful application of ML for solving health informatics problems needs a concerted effort, fostering integrative research between experts ranging from disciplines such as data science to visual analytics.

It also includes a short summary of the bioimage informatics challenges (Auer et al., 2007), including the demand for bioimage informatics techniques, the need of multiscale imaging, collaboration and communication between biologists and engineers, common bioimage informatics problems and bench test datasets and modeling.

However, due to the great complexity and information content in bioimages, such as the very high density of cells (e.g. astrocytes, microglia, neurons) intertwined together (Fig. 1A), or very rapid microtubule growing process in a 4D movie of live cells, it is very challenging to directly apply existing medical image analysis methods to these bioimage informatics problems.

Immunoinformatics, a newly emergent sub-discipline of bioinformatics, addresses informatic problems within immunology, such as the crucial issue of epitope prediction [5].

Ease of use, extendability and openness make it an ideal tool for addressing complex immuno-informatics problems in an uncomplicated manner.

In an attempt to solve the problem, informatics experts from the three original participating model organism databases devised functional classification systems in the hopes that these precursors to the GO would facilitate interoperability.

Particularly, probabilistic ML is extremely useful for health informatics, where most problems involve dealing with uncertainty.

The reader contained more than 200 professional texts focusing on informatics and related problems and their recordings in mp3 format.