Researchers adapt model predictive control from engineering to epidemic response, balancing health and economic costs under ...

Professionals in agriculture, defense and security, environmental monitoring, food quality analysis, industrial quality ...

Methods A claims-based algorithm was developed to categorize patients by disease stage on the basis of the administrative claims portion of the SEER-Medicare linked data. The algorithm was validated ...

Because the optimal subsampling probabilities depend on the full data estimate, an adaptive two-step algorithm is developed. The asymptotic normality and optimality of the estimator from this adaptive ...

Conclusion The novel algorithms are effective for extracting information about patients with cancer from claims data by using the combined information on diagnosis, procedures, and medicines ...

Ofer A. Lidsky is an entrepreneur with over 30 years of experience and is the founder and CEO of Excellent Brain. In today’s digital age, data encryption is vital for protecting sensitive information.

A new algorithm can identify the most predictive data points that a tipping point is near. Whether you're trying to predict a climate catastrophe or mental health crisis, mathematics tells us to ...

Higher-order singular value decomposition (HOSVD) is an efficient way for data reduction and also eliciting intrinsic structure of multi-dimensional array data. It has been used in many applications, ...

The algorithms that underlie modern artificial-intelligence (AI) systems need lots of data on which to train. Much of that data comes from the open web which, unfortunately, makes the AIs susceptible ...