However, algorithms are not a perfect answer. There are biases behind the data, and the construction of models is based on ...

Machine learning (ML) algorithms that incorporate routinely collected patient-reported outcomes (PROs) alongside electronic health record (EHR) variables may improve prediction of short-term mortality ...

Go read this data analysis that uncovers predictive policing’s flawed algorithm A co-reported investigation with Gizmodo and The Markup into PredPol ...

Machine Learning Models: Using algorithms like neural networks and random forests, these models train prediction models from large samples of match data, gradually improving accuracy. This shift marks ...

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 Michigan Tech Data Science MS provides a broad-based education in data mining, predictive analytics, cloud computing, data-science fundamentals, communication, and business acumen.

Quantum Algorithms Prerequisites Undergraduate algorithms (CSCI 3104), data structures (CSCI 2270), discrete mathematics (CSCI 2824) and two semesters of calculus, or equivalents. We will assume that ...

A cycle counting algorithm that will reduce a complex history into a series of discrete cycles is presented. The cycles determined by this technique are defined as closed stress-strain hysteresis ...

Eko Murmur Analysis Software is a machine learning algorithm that detects and characterizes heart murmurs in adult and pediatric patients.

A new combination of inputs for the estimation of left ventricular filling pressure has shown to outperform those from guidelines published in 2016.