Sentence examples for generate and validate from inspiring English sources

As far as we know, this is the first study to use robust modeling techniques for model generation, followed by external validation to generate and validate symptom-based predictive models of endometriosis in a large prospectively recruited cohort of women across different countries and ethnicities.

Hsu's research involves using neuroscientific and computational tools to understand the biological basis of economic and consumer decision-making, as well as how brain-based methods can be used to generate and validate insights into customers' thoughts, feelings, and behavior.

Prof. Hsu's research involves using neuroscientific and computational tools to understanding economic and consumer decision-making, and how brain-based methods can be used to generate and validate insights into people's thoughts, feelings, and behavior.

To generate and validate a scale to measure the Informed Choice of contraceptive methods among women attending a family health care service in Chile.

The UC Davis/NIH NeuroMab Facility was created with the mission of addressing the unmet need for high-quality Abs in neuroscience research by applying a unique approach to generate and validate mouse monoclonal antibodies (mAbs) optimized for use against mammalian brain (i.e., NeuroMabs).

To evaluate models predictability, data is split into training and test set to generate and validate stepwise estimation model by sequentially feeding ranked variables.

Using logistic regression, 2 models were generated and validated using split-sample validation: (1) One limited to preoperative characteristics (preop model) and (2) one model including both preoperative and intraoperative characteristics (combined model).

We generated and validated centile curves of 25(OH D in the general adult Caucasian population.

Using two large Swiss population-based studies, we generated and validated centile curves of 25(OH D in the general adult population.

We generated and validated a case-mix in-hospital mortality prediction model using 50/50 split sample validation.

It is completely decentralized: stamps can be generated and validated at any point in the process, and even offline.