We developed precompiled lexicons and classification rules as features for the following ML classifiers: logistic regression, random forest, and support vector machines (SVMs). These features were ...

Development of an Electronic Health Record–Based Algorithm for Predicting Lung Cancer Screening Eligibility in the Population-Based Research to Optimize the Screening Process Lung Research Consortium ...

In the scope of this paper, a paradigm is a general modeling framework or a distinct set of methodologies to solve a class of tasks. For instance, sequence labeling is a mainstream paradigm for named ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Treatment of non–muscle-invasive bladder cancer (NMIBC) is guided by risk stratification using clinical and pathologic criteria. This study aimed to develop a natural language processing (NLP) model ...

This article is published by AllBusiness.com, a partner of TIME. What is Natural Language Processing”? Natural Language Processing (NLP) is a branch of artificial intelligence (AI) that focuses on the ...

The University of Turku in Finland is one of 10 university research labs across Europe to collaborate in building brand new large language models in a variety of European languages. The group chose to ...

Recently, a research team at The University of Massachusetts Amherst led by Emma Strubell published a paper on the carbon emissions generated through training a high-performing NLP model. Given the ...