Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

It would be greatly beneficial to physicians trying to save lives in intensive care units if they could be alerted when a patient's condition rapidly deteriorates or shows vitals in highly abnormal ...

To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The models achieved high sensitivity and specificity among ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

The study introduces the concept of algorithmization to describe how organizations can be transformed into federated ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...