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 ...

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 ...

As machine learning technology continues to shock the world, popular artificial intelligence tools such as natural language processing may generate unforeseen issues for humanity. For instance, ...

Discover the groundbreaking concepts behind "Attention Is All You Need," the 2017 Google paper that introduced the ...

What if a computer could read a patient's medical notes and help doctors determine important information for their treatments? At MUSC Hollings Cancer Center, researchers led by Jihad Obeid, M.D., and ...

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 ...

In 2019, a group of researchers at AI Sweden received funding from the Swedish Innovation Agency (Vinnova) for a project called Language model for Swedish Authorities. The goal was to produce language ...

Natural language processing libraries, including NLTK, spaCy, Stanford CoreNLP, Gensim and TensorFlow, provide pre-built tools for processing and analyzing human language. Natural language processing ...

Forbes contributors publish independent expert analyses and insights. Making wealth creation easy, accessible and transparent. Natural language processing (NLP) is a subset of artificial intelligence ...

The wealth tech firm launches Addison to help advisory firms analyze investment data through conversational queries on its ...