Sentence examples for built on a data from inspiring English sources

Classification models are built on a data set of 8421 diabetic participants, of which 2427 developed hypertension after the diagnosis for diabetes.

Classification models are built on a data set of 2704 hypertensive participants, of which 1322 developed diabetes after the diagnosis for hypertension.

Classification models are built on a data set of 10 6759(6759 hypertensive and 3873 non-hypertensive) participants; these participants (chosen irrespective of their diagnosis for diabetes) have complete records of height, weight, age, gender, ethnicity, diabetes diagnosis and a family history of hypertension and diabetes.

Classification models are built on a data set of 10 632853853 diabetic and 7779 non-diabetic) participants; these participants (chosen irrespective of their diagnosis for hypertension) have complete records of height, weight, age, gender, ethnicity, hypertension diagnosis and a family history of hypertension and diabetes.

Rather the regulation updates and builds on a data protection framework that's more than two decades old at this point — mostly by ramping up enforcement, with penalties for privacy violations that can scale as high as 4% of a company's global annual turnover.

IGVs data tiling implementation is built on a pyramidal data structure that can be described as follows.

CICT can be very conveniently built on a raw data store as our intelligent DM carries out all the important data management functions.

Both algorithms are built on a training data set and their predictive ability is evaluated in a separate validation data set; both approaches use only the information of the training data set that is available at baseline.

The GRIMM model presents a SV with slightly less power from SH degrees 6 to 8, explained by the fact that GRIMM is built on a different data set and is smoothed in time.

The models for HSPs were built on a training/validation data set of 128 compounds having a broad diversity of chemical characters (alkanes, alkenes, aromatics, haloalkanes, nitroalkanes, amines, amides, alcohols, ketones, ethers, esters, acids, ion-pairs: amine/acid associates, ionic liquids).

In this work, we propose a Dysregulated Pathway Based prediction Model (DPBM) built on a merged data set with 855 samples.