Sentence examples for machine learning driven from inspiring English sources
The US retains most of the expertise in machine learning, driven by pioneering universities such as MIT and the Silicon Valley.
We have demonstrated the design, development and validation of the machine learning driven prognostic system (MLDPS).
The development of the machine learning driven prognostic system (MLDPS) was carried out in close collaboration with clinical experts.
The machine learning driven cardiac chest pain prognostic model calculates the cardiac chest pain risk score which is shown in Fig. 10.
The ODCRARS, especially machine learning driven cardiac chest pain and heart disease prognostic models were presented at various e-health workshops and symposiums.
The proposed ontology and machine learning driven hybrid clinical decision support framework exploits functionality provided by each of its key components.
Generally the narrower the scope of a product and the greater the degree to which machine learning drives its value, the easier it is to tie these advantages together to create a runaway leader.
Machine learning has driven billions of dollars in revenue across industries, enabling unparalleled resources and enormous job opportunities. 1. Pick a problem you're interested in.
The real success, he says, will be the pairing of human expertise -- and the comfort that patients need when dealing with difficult diagnoses -- with machine learning that, driven by algorithms, can reduce the error rate of cancer diagnoses, for example, to about 0.5%.
Much of the heavy lifting now is taking place along a continuum that spans machine learning, data driven discovery in new or evolving domains and mining the intranet and social networks to bring continuous improvement an engine's ability to understand meaning and provide new kinds of assistance.
Organizations seeking to drive digital innovation with this trend should evaluate a number of business scenarios in which AI and machine learning could drive clear and specific business value and consider experimenting with one or two high-impact scenarios.
