Sentence examples for multiple forms of data from inspiring English sources

Exact(9)

Such integration of multiple forms of data can be done in three principal ways: merging, connecting and embedding data [30].

Through the collection of multiple forms of data— including GPS, vehicle information, functional, medication usage, medical history, and self-reported factors.

Moreover, this framework provides a mechanism to combine multiple forms of data, both genomic and clinical, to most effectively characterize individual patients and achieve the goal of personalized predictions of clinical outcomes.

Video generates multiple forms of data (picture, sound, text, and so forth), which can be considered as 'slices of data' (gesture, prosody, talk, posture, facial expressions) (Glaser & Strauss 1967).

This integrated clinicogenomic modeling framework is based on statistical classification tree models that evaluate the contributions of multiple forms of data, both clinical and genomic, to define interactions of multiple risk factors that associate with the clinical outcome and derive predictions customized to the individual patient level.

The second, in chapter 5, uses evolution to illustrate the power of multiple forms of data to strengthen arguments.

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Similar(51)

Through these data visualizations, rapid comparisons of multiple forms of information are possible, not easily achievable through reviewing results in tabular form alone.

The vast majority of studies in our data set included some type of assessment data, and most studies with assessment data included multiple forms of assessment data.

Using a large cohort of PTC samples obtained from The Cancer Genome Atlas (TCGA), we analyzed the association between disease progression and multiple forms of genomic data, such as transcriptome, somatic mutations, and somatic copy number alterations, and found that genes related to FOXM1 signaling pathway were significantly associated with PTC progression.

Lastly, the combination of multiple forms of molecular data (protein- and gene-based) and clinical and demographic factors has the potential to identify unique characteristics of the individual and lead to more effective customized health care strategies [ 47, 48].

These technologies allow measuring, modeling, managing and mining of multiple forms of big brain data.

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