Abstract: Data analytics can help drive decision-making and improve patient outcomes in healthcare. But of course, healthcare data is complex, and the process to access & analyze it can be slow. Here, ...

1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...

The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...

IN YEARS GONE by, the wait for the announcement of winners of the Nobel prizes was a period of fun but largely uninformed speculation. The Nobel committees’ processes of choosing winners are so ...

The Alberta Stroke Program Early Computed Tomography Score and core volume on preoperative imaging are key predictors of clinical outcomes following endovascular therapy in patients with a large ...

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...

1 Department of Hepatology, Panzhihua Hospital of Integrated Chinese and Western Medicine, Panzhihua, China 2 Department of Intensive Care Medicine, Panzhihua Hospital of Integrated Chinese and ...

As businesses continue to harness Big Data to drive innovation, customer engagement and operational efficiency, they increasingly find themselves walking a tightrope between data utility and user ...

Additionally, hybrid models (e.g., LR+NB, RF+LR) are tested to identify the most effective approach for early Parkinson’s Disease (PD) detection.

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...