As the population ages, China will face an ever-increasing burden from CS. Strategies targeting elder population and high-risk groups should be prioritized in the establishment of management related ...

NLP offers powerful opportunities to support the UN Sustainable Development Goals (SDGs)—including SDG2 (Zero Hunger). In the ...

Objectives Rising patient numbers and limited resources are creating a challenging environment for healthcare providers recently. Anaesthesiologists are also increasingly faced with complex situations ...

Abstract: The growing volume of unstructured text data in the banking sector has created a need for advanced classification methods to manage customer inquiries efficiently, resulting in faster ...

Background Monogenic disorders are a major cause of fetal structural anomalies. Most genetic diagnoses involve de novo, biallelic or X linked variants; however, inherited variants in autosomal ...

WASHINGTON, Nov 18 (Reuters) - Scientists have detected some of the oldest signs of life on Earth using a new method that recognizes chemical fingerprints of living organisms in ancient rocks, an ...

Text classification plays a critical role in numerous natural language processing applications, yet limited work has addressed the unique linguistic structure of African languages such as Kiswahili.

Recently, a research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, has developed a new deep learning method that improves the classification accuracy of mixed ...

Please provide your email address to receive an email when new articles are posted on . The WISEcode classification system graded ultra-processed foods more evenly vs. the NOVA system. The tool ...

In recent decades, medical short texts, such as medical conversations and online medical inquiries, have garnered significant attention and research. The advances in the medical short text have ...