The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare ...

Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve researchers' ability to detect complex genetic alterations in cancer genomes.

An automated machine-learning program developed by researchers from Edith Cowan University (ECU) in conjunction with the University of Manitoba has been able to identify potential cardiovascular ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

A machine-learning algorithm originally built to spot impact craters on Mars has been retrained on ocean-floor data, and the ...

Housing tends to be a key part of household wealth, but despite its importance, it has been difficult to measure the value of a property. In a new article, researchers have studied the impact of a ...

Natural Cycles remains 98% effective when used as intended and 93% effective with typical use. These rates, supported by ...

Your immune system harbors a lifetime's worth of information about threats it's encountered - a biological Rolodex of baddies. Often the perpetrators are viruses and bacteria you've conquered; others ...

A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...

Salty soils are causing reduced crop density, lower yields and barren lands unable to sustain crop growth. Sea level rise, intense storm surges and the overextraction of groundwater are driving this ...